purlGTN:N00095 |
News |
Galaxy Administrator Time Burden and Technology Usage deployingmaintenancesurvey |
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purlGTN:N00092 |
News |
Simplifying GTN contribution with Google Forms gtn infrastructurenew featureautomation |
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purlGTN:N00094 |
News |
New Tutorial: Single-cell ATAC-seq standard processing with SnapATAC2 new tutorialsingle-cellepigenetics |
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purlGTN:N00093 |
News |
Registration Open for BioNT Community Event & CarpentryConnect Heidelberg
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purlGTN:N00091 |
News |
So many new features! GTN 2023-2024 Updates gccgtn infrastructure |
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purlGTN:N00090 |
News |
4th Mycobacterium tuberculosis complex NGS made easy NGSTuberculosisDrug-resistancetransmissionevolutionone-health |
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purlGTN:N00089 |
News |
GTN Video Library 2.0: 107 hours of learning across 154 videos gtn |
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purlGTN:N00088 |
News |
Phylogenetics tutorial takes researchers back to basics! PhylogeneticsTutorialGTNAustralian BioCommons |
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purlGTN:N00087 |
News |
From GTN Intern to Tutorial Author to Bioinformatician single-celltrainingeducationtrajectoryusercontributor |
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purlGTN:N00086 |
News |
Open Call for Trainers for the Galaxy Training Academy gtn |
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purlGTN:N00085 |
News |
New Galaxy training: Building an amplicon sequence variant (ASV) table from 16S data using DADA2 new tutorial |
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purlGTN:N00084 |
News |
Celebrating the Milestone: 400 Tutorials on the Galaxy Training Network! gtn |
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purlGTN:N00083 |
News |
Integrating the Galaxy Training Network into the Tool Form gtnnew featurealready-on-hub |
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purlGTN:N00082 |
News |
Standards compliant™ training news via RSS/Atom gtn infrastructure |
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purlGTN:N00081 |
News |
All GTN training data are now automatically mirrored via Onedata esg-wp4esg |
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purlGTN:N00080 |
News |
Introducing GTN Event Pages gtn infrastructurenew featureevents |
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purlGTN:N00079 |
News |
Open Galaxy Position at Galaxy Europe Team, University of Freiburg jobsfreiburgeu |
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purlGTN:N00078 |
News |
Perfectly FAIR Training! gtn infrastructure |
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purlGTN:N00077 |
News |
Open Galaxy Positions at Melbourne Bioinformatics jobsaustralia |
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purlGTN:N00076 |
News |
Learn to use MINERVA Platform's COVID-19 Disease Map with Galaxy by-covidpathwaysminervagtn infrastructurenew feature |
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purlGTN:N00075 |
News |
New Learning Pathway for FAIR Data Management developed by ELIXIR-UK Data Stewardship Fellows and Experts fairdmpdata stewardshipdata managementnew learning pathway |
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purlGTN:N00074 |
News |
Cool URLs Don't Change, GTN URLs don't either. gtn infrastructurenew feature |
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purlGTN:N00073 |
News |
Lost in a topic? Try a Learning Pathway! gtn infrastructurenew feature |
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purlGTN:N00072 |
News |
GTN ❤️ GMOD new topicnew featuregenome annotation |
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purlGTN:N00069 |
News |
🪐📲 Hosting Galaxy at the Edge: Directly in Your Pocket! funsystem administratorsdevelopershumour |
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purlGTN:N00071 |
News |
GTN in Discourse gtn infrastructurenew featurebeta |
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purlGTN:N00068 |
News |
Simplified GTN News submission via Google Form gtn infrastructurenew featureautomation |
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purlGTN:N00070 |
News |
FAIR Data management in single cell analysis single celldata managementdata importfair |
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purlGTN:N00067 |
News |
Galaxy Single-cell Community: Year in Review gtncommunicationssingle-cell |
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purlGTN:N00066 |
News |
GTN Helper Bots Connect the Galaxy gtncommunications |
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purlGTN:N00065 |
News |
User story: Where Galaxy meets medicinal chemistry computational chemistryuser storygtn |
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purlGTN:N00064 |
News |
Tutorial Feature: Easier launching of WorkflowHub & Dockstore Workflows feature updategtntutorials |
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purlGTN:N00063 |
News |
Feedback: Easy slide recordings feedbacktestimonialgtn |
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purlGTN:N00062 |
News |
GTN has left Twitter/X as of October gtncommunications |
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purlGTN:N00061 |
News |
Update: Workflow List now searches WorkflowHub.eu, advanced query syntax feature updategtn |
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purlGTN:N00060 |
News |
Single cell subdomain re-launch: Unified and feedback-driven gtnsinglecell |
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purlGTN:N00059 |
News |
New Feature: Embeddable GTN Tutorial Lists and UseGalaxy Workflow List Widgets new featuregtn |
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purlGTN:N00058 |
News |
New Feature: GTN User Preferences new featuregtn |
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purlGTN:N00057 |
News |
AI4Life teams up with GTN to enhance training resources new topicnew community |
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purlGTN:N00056 |
News |
ELIXIR-UK Fellow Launches New FAIR Data Management Training new topicnew tutorial |
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purlGTN:N00055 |
News |
New Feature: Pan-Galactic Tool Search new featuregtn |
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purlGTN:N00054 |
News |
GTN Celebrates Pride Month: Alan Hart & M. Tuberculosis
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purlGTN:N00053 |
News |
New Galaxy training: Genome-wide alternative splicing analysis new tutorial |
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purlGTN:N00052 |
News |
BY-COVID and RO-Crate collaboration brings new topic: FAIR Data, Workflows & More new topicnew feature |
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purlGTN:N00051 |
News |
New Feature: my.galaxy.training new featuregtn |
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purlGTN:N00050 |
News |
New Feature: Persistent URLs (PURLs) / Shortlinks new featuregtn |
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purlGTN:N00049 |
News |
New Feature: GTN Rdoc new featuregtn |
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purlGTN:N00048 |
News |
New Feature: Click-to-run Workflows new featuregtn |
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purlGTN:N00047 |
News |
New Feature: Learning Pathways! new feature |
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purlGTN:N00046 |
News |
New Feature: Trainer Directory! (Add yourself today!) new featurecommunity buildingcapacity building |
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purlGTN:N00045 |
News |
What are the most used tools in the GTN? new featuregtn |
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purlGTN:N00044 |
News |
GTN Celebrates Black History Month
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purlGTN:N00043 |
News |
New Tutorial: Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition new tutorial |
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purlGTN:N00042 |
News |
New Feature: Prometheus Metrics endpoint new featuregtn |
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purlGTN:N00041 |
News |
New GTN Feature Tag-based Topics enables new SARS-CoV-2 topic new topicnew feature |
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purlGTN:N00040 |
News |
New GTN paper: "Galaxy Training: A powerful framework for teaching!" paper |
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purlGTN:N00039 |
News |
New Tutorial Suite: Deconvolution with MuSiC, from public data to disease interrogation! new tutorialsingle-celltranscriptomics |
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purlGTN:N00038 |
News |
New Topic: Single Cell Analysis! new topicsingle-cellnew feature |
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purlGTN:N00037 |
News |
New Tutorial: Data Manipulation new tutorial |
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purlGTN:N00036 |
News |
New Tutorial: Workflow Reports new tutorialGalaxy Tips & Tricks |
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purlGTN:N00035 |
News |
GTN Metadata Schemas new feature |
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purlGTN:N00034 |
News |
New Tutorial Feature: Choose Your Own Tutorial gtn infrastructurenew featuretutorial authors |
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purlGTN:N00033 |
News |
New Tutorial: VGP assembly pipeline new tutorialassemblypacbiovgp |
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purlGTN:N00032 |
News |
New Feature: Automatic RMarkdown gtn infrastructurenew feature |
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purlGTN:N00031 |
News |
GTN Smörgåsbord 2: Tapas Edition event |
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purlGTN:N00030 |
News |
Support for annotating Funding Agencies new-feature |
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purlGTN:N00029 |
News |
New Tutorials: PacBio data QC and Genome Assembly, and Genome Annotation with Funannotate new tutorialassemblygenome-annotation |
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purlGTN:N00028 |
News |
New FAQs: How does the GTN stay FAIR and Collaborative faq |
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purlGTN:N00027 |
News |
New Feature: GTN Video Library gtn infrastructurenew feature |
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purlGTN:N00026 |
News |
New Feature: GTN API with OpenAPI 3 specification gtn infrastructurenew feature |
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purlGTN:N00025 |
News |
Attention Contributors: GTN Performance Enhancements authorsdevelopersperformance |
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purlGTN:N00024 |
News |
New Topic: Data Science Survival Kit gtn infrastructurenew topic |
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purlGTN:N00023 |
News |
Got a minute? Take our survey about Galaxy for training and have your say! feedback |
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purlGTN:N00022 |
News |
New Feature: Automatic Jupyter Notebooks gtn infrastructurenew feature |
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purlGTN:N00021 |
News |
New Feature: a feedback page to aggregate and display feedback answers new featurecontributors |
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purlGTN:N00020 |
News |
Accessibility Improvements new feature |
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purlGTN:N00019 |
News |
New Tutorial: Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data new tutorialvariant-analysiscovid-19 |
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purlGTN:N00018 |
News |
New Tutorial: Visualization of RNA-Seq results with Volcano Plot in R new tutorialvisualization |
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purlGTN:N00017 |
News |
New Tutorial: GitPod for contributing to the GTN new tutorialcontributors |
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purlGTN:N00016 |
News |
New Tutorial: Genome Annotation with Apollo new tutorialgenome-annotation |
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purlGTN:N00015 |
News |
Oh no, it changed! Quick, to the archive menu. new feature |
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purlGTN:N00014 |
News |
Contributing to BioBlend as a developer new tutorial |
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purlGTN:N00013 |
News |
New Feature: Easy Abbreviation new feature |
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purlGTN:N00012 |
News |
¿Hablas español?: The first curated tutorial in Spanish! new tutorialespañol |
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purlGTN:N00011 |
News |
New Tutorials: Whole transcriptome analysis of Arabidopsis thaliana new tutorialtranscriptomicsplantsmirna |
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purlGTN:N00010 |
News |
New Feature: Video Player gtn infrastructurevideonew feature |
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purlGTN:N00009 |
News |
New Tutorial: Downstream Single-cell RNA Plant analysis with ScanPy new tutorialsingle-cellplant |
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purlGTN:N00008 |
News |
New Tutorials: Genome assembly of a MRSA genome new tutorialassemblymrsaamrnanoporeillumina |
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purlGTN:N00007 |
News |
New Feature: FAQs gtn infrastructurecontributorsinstructorsnew feature |
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purlGTN:N00006 |
News |
New Tutorial: Object tracking using CellProfiler new tutorialimaging |
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purlGTN:N00005 |
News |
Next GTN CoFest May 20, 2021 cofest |
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purlGTN:N00004 |
News |
Galaxy Community Conference 2021 event |
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purlGTN:N00003 |
News |
Report on the GTN Smörgåsbord event eventpandemicremote-teaching |
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purlGTN:N00002 |
News |
Galaxy 21.01 released! galaxy |
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purlGTN:N00001 |
News |
New Feature: Automatic Slides-to-video conversion new featurevideosgtnpandemicremote-teaching |
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purlGTN:N00000 |
News |
Galaxy Admin Training Success admingateventpandemicremote-teaching |
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purlGTN:F00282 |
FAQs |
Do I need to create collections to run MaxQuant analysis or can I use single sample inputs?
|
Proteomics |
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purlGTN:F00283 |
FAQs |
Including custom modifications into MaxQuant in Galaxy?
|
Proteomics |
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purlGTN:F00284 |
FAQs |
Which isobaric labeled quantification methods does MaxQuant in Galaxy support?
|
Proteomics |
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purlGTN:F00137 |
FAQs |
How does the GTN ensure accessibility?
|
GTN FAQ |
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purlGTN:F00002 |
FAQs |
How do I create an account on a public Galaxy instance?
|
Galaxy FAQ |
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purlGTN:F00253 |
FAQs |
It says I already have an account when registering for ecology.usegalaxy.eu
|
Ecology |
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purlGTN:F00003 |
FAQs |
Can I create multiple Galaxy accounts?
|
Galaxy FAQ |
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purlGTN:F00004 |
FAQs |
How can I reduce quota usage while still retaining prior work (data, tools, methods)?
|
Galaxy FAQ |
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purlGTN:F00005 |
FAQs |
How to update account preferences?
|
Galaxy FAQ |
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purlGTN:F00392 |
FAQs |
How to enable the Activity Bar
|
Galaxy FAQ |
|
|
purlGTN:F00254 |
FAQs |
Automatically trim adapters (without providing custom sequences)
|
Epigenetics |
|
|
purlGTN:F00376 |
FAQs |
How can I adapt this tutorial to my own data?
|
Microbiome |
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purlGTN:F00379 |
FAQs |
How can I adapt this tutorial to my own data?
|
Microbiome |
|
|
purlGTN:F00184 |
FAQs |
Operating system compatibility
|
Galaxy Server administration |
|
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purlGTN:F00280 |
FAQs |
What advantages does a Chromatogram Library have over a DDA-generated library or predicted spectral library?
|
Proteomics |
|
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purlGTN:F00321 |
FAQs |
Why is Alevin is not working?
|
Single Cell |
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|
purlGTN:F00320 |
FAQs |
Why is Alevin is not working?
|
Single Cell |
|
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purlGTN:F00306 |
FAQs |
Is it possible to replace the existing alignment tools such as HISAT and Freebayes with other tools?
|
Proteomics |
|
|
purlGTN:F00234 |
FAQs |
Is it possible to use alternative tools to those proposed in the tutorial?
|
Assembly |
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purlGTN:F00225 |
FAQs |
Why is amplification more of an issue in scRNA-seq than RNA-seq?
|
Single Cell |
|
|
purlGTN:F00006 |
FAQs |
Adding a custom database/build (dbkey)
|
Galaxy FAQ |
|
|
purlGTN:F00174 |
FAQs |
Pick the right Concatenate tool
|
Galaxy FAQ |
|
|
purlGTN:F00007 |
FAQs |
Beware of Cuts
|
Galaxy FAQ |
|
|
purlGTN:F00008 |
FAQs |
Extended Help for Differential Expression Analysis Tools
|
Galaxy FAQ |
|
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purlGTN:F00362 |
FAQs |
How can I do analysis X? - Getting help
|
Galaxy FAQ |
|
|
purlGTN:F00009 |
FAQs |
Will my jobs keep running?
|
Galaxy FAQ |
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purlGTN:F00010 |
FAQs |
My jobs aren't running!
|
Galaxy FAQ |
|
|
purlGTN:F00011 |
FAQs |
Regular Expressions 101
|
Galaxy FAQ |
|
|
purlGTN:F00012 |
FAQs |
Reporting usage problems, security issues, and bugs
|
Galaxy FAQ |
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|
purlGTN:F00013 |
FAQs |
Results may vary
|
Galaxy FAQ |
|
|
purlGTN:F00014 |
FAQs |
Troubleshooting errors
|
Galaxy FAQ |
|
|
purlGTN:F00015 |
FAQs |
What information should I include when reporting a problem?
|
Galaxy FAQ |
|
|
purlGTN:F00216 |
FAQs |
I can’t find the “Analyze Data” button
|
Introduction to Galaxy Analyses |
|
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purlGTN:F00325 |
FAQs |
AnnData Import/ AnnData Manipulate not working?
|
Single Cell |
|
|
purlGTN:F00185 |
FAQs |
Variable connection
|
Galaxy Server administration |
|
|
purlGTN:F00186 |
FAQs |
Define once, reference many times
|
Galaxy Server administration |
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|
purlGTN:F00187 |
FAQs |
What if you forget `--diff`?
|
Galaxy Server administration |
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purlGTN:F00188 |
FAQs |
Error: "skipping: no hosts matched"
|
Galaxy Server administration |
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purlGTN:F00189 |
FAQs |
Running Ansible on your remote machine
|
Galaxy Server administration |
|
|
purlGTN:F00190 |
FAQs |
What is the difference between the roles with `role:` prefix and without?
|
Galaxy Server administration |
|
|
purlGTN:F00191 |
FAQs |
How do I know what I can do with a role? What variables are available?
|
Galaxy Server administration |
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purlGTN:F00192 |
FAQs |
How do I see what variables are set for a host?
|
Galaxy Server administration |
|
|
purlGTN:F00193 |
FAQs |
Is YAML sensitive to True/true/False/false
|
Galaxy Server administration |
|
|
purlGTN:F00236 |
FAQs |
Why does my assembly graph in Bandage look different to the one pictured in the tutorial?
|
Assembly |
|
|
purlGTN:F00243 |
FAQs |
The folder `recipes/belerophon/` and the file `meta.yaml` already exist in bioconda?
|
Development in Galaxy |
|
|
purlGTN:F00255 |
FAQs |
In bowtie 2 parameters, in place of 1000 for other experiments, should we mention the median fragment length observed in our library?
|
Epigenetics |
|
|
purlGTN:F00285 |
FAQs |
What is the advantage of breaking down protein to peptides before mass spec?
|
Proteomics |
|
|
purlGTN:F00277 |
FAQs |
The Build tissue-specific expression dataset tool (step one) exits with an error code.
|
Proteomics |
|
|
purlGTN:F00194 |
FAQs |
Opening a split screen in byobu
|
Galaxy Server administration |
|
|
TBA |
FAQs |
Can I use a public Galaxy for my private data?
|
Galaxy FAQ |
|
|
purlGTN:F00307 |
FAQs |
Why do we change the chromosome names in the Ensembl GTF to match the UCSC genome reference?
|
Proteomics |
|
|
purlGTN:F00259 |
FAQs |
Do you have resources to help me get started working in the cloud?
|
Using Galaxy and Managing your Data |
|
|
purlGTN:F00138 |
FAQs |
How does the GTN implement the "Ten simple rules for collaborative lesson development"
|
GTN FAQ |
|
|
purlGTN:F00016 |
FAQs |
Adding a tag to a collection
|
Galaxy FAQ |
|
|
purlGTN:F00017 |
FAQs |
Creating a dataset collection
|
Galaxy FAQ |
|
|
purlGTN:F00018 |
FAQs |
Creating a paired collection
|
Galaxy FAQ |
|
|
purlGTN:F00182 |
FAQs |
Changing the datatype of a collection
|
Galaxy FAQ |
|
|
purlGTN:F00183 |
FAQs |
Converting the datatype of a collection
|
Galaxy FAQ |
|
|
purlGTN:F00019 |
FAQs |
Renaming a collection
|
Galaxy FAQ |
|
|
purlGTN:F00245 |
FAQs |
I want to use a collection for outputs but it always passes the test even when the script fails. Why?
|
Development in Galaxy |
|
|
purlGTN:F00296 |
FAQs |
How does one compare metaproteomics measurements from two experimental conditions?
|
Proteomics |
|
|
purlGTN:F00382 |
FAQs |
After sequencing with MinKNOW software, we get many fastq files, do these files need to be combined into one file before uploading or is it possible to upload them all at once?
|
Microbiome |
|
|
purlGTN:F00286 |
FAQs |
Do we need a contaminant FASTA for MQ in galaxy?
|
Proteomics |
|
|
purlGTN:F00214 |
FAQs |
How to Contribute to Galaxy
|
Development in Galaxy |
|
|
purlGTN:F00212 |
FAQs |
Contributing a Jupyter Notebook to the GTN
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:F00139 |
FAQs |
Thanks!
|
GTN FAQ |
|
|
purlGTN:F00140 |
FAQs |
How can I get started with contributing?
|
GTN FAQ |
|
|
purlGTN:F00141 |
FAQs |
How can I contribute in "advanced" mode?
|
GTN FAQ |
|
|
purlGTN:F00142 |
FAQs |
How can I fix mistakes or expand an existing tutorial using the GitHub interface?
|
GTN FAQ |
|
|
purlGTN:F00143 |
FAQs |
How can I give feedback?
|
GTN FAQ |
|
|
purlGTN:F00144 |
FAQs |
What can I do to help the project?
|
GTN FAQ |
|
|
purlGTN:F00145 |
FAQs |
How can I report mistakes or errors?
|
GTN FAQ |
|
|
purlGTN:F00146 |
FAQs |
How can I test an Interactive Tour?
|
GTN FAQ |
|
|
purlGTN:F00147 |
FAQs |
How can I create new content without dealing with git?
|
GTN FAQ |
|
|
purlGTN:F00297 |
FAQs |
How does one convert RAW files to MGF peak lists within Galaxy?
|
Proteomics |
|
|
purlGTN:F00298 |
FAQs |
I have FASTQ files from metagenomics or metatranscriptomics datasets? How can I convert them into a protein FASTA file for metaproteomics searches?
|
Proteomics |
|
|
purlGTN:F00233 |
FAQs |
Customising the welcome page
|
Galaxy Server administration |
|
|
purlGTN:F00391 |
FAQs |
Using data source tools with Pulsar
|
Galaxy Server administration |
|
|
purlGTN:F00195 |
FAQs |
Database Issues
|
Galaxy Server administration |
|
|
purlGTN:F00020 |
FAQs |
Incomplete Dataset Download
|
Galaxy FAQ |
|
|
purlGTN:F00021 |
FAQs |
How to find and correct tool errors related to Metadata?
|
Galaxy FAQ |
|
|
purlGTN:F00365 |
FAQs |
Upload fasta datasets via links
|
Assembly |
|
|
purlGTN:F00366 |
FAQs |
Upload fastqsanger datasets via links
|
Assembly |
|
|
purlGTN:F00023 |
FAQs |
Finding BAM dataset identifiers
|
Galaxy FAQ |
|
|
purlGTN:F00024 |
FAQs |
Directly obtaining UCSC sourced *genome* identifiers
|
Galaxy FAQ |
|
|
purlGTN:F00025 |
FAQs |
Adding a tag
|
Galaxy FAQ |
|
|
purlGTN:F00128 |
FAQs |
Cambiar el tipo de datos
|
Galaxy FAQ |
|
|
purlGTN:F00026 |
FAQs |
Changing the datatype
|
Galaxy FAQ |
|
|
purlGTN:F00177 |
FAQs |
Changer le type de données
|
Galaxy FAQ |
|
|
purlGTN:F00027 |
FAQs |
Changing database/build (dbkey)
|
Galaxy FAQ |
|
|
purlGTN:F00028 |
FAQs |
Mismatched Chromosome identifiers and how to avoid them
|
Galaxy FAQ |
|
|
purlGTN:F00029 |
FAQs |
Converting the file format
|
Galaxy FAQ |
|
|
purlGTN:F00030 |
FAQs |
Creating a new file
|
Galaxy FAQ |
|
|
purlGTN:F00031 |
FAQs |
How to set Data Privacy Features?
|
Galaxy FAQ |
|
|
purlGTN:F00403 |
FAQs |
How to delete datasets?
|
Galaxy FAQ |
|
|
purlGTN:F00032 |
FAQs |
Detecting the datatype (file format)
|
Galaxy FAQ |
|
|
purlGTN:F00033 |
FAQs |
Downloading datasets
|
Galaxy FAQ |
|
|
purlGTN:F00034 |
FAQs |
Downloading datasets using command line
|
Galaxy FAQ |
|
|
purlGTN:F00035 |
FAQs |
Finding Datasets
|
Galaxy FAQ |
|
|
purlGTN:F00036 |
FAQs |
How to hide datasets?
|
Galaxy FAQ |
|
|
purlGTN:F00037 |
FAQs |
Different dataset icons and their usage
|
Galaxy FAQ |
|
|
purlGTN:F00038 |
FAQs |
Importing data from a data library
|
Galaxy FAQ |
|
|
purlGTN:F00039 |
FAQs |
Importing data from remote files
|
Galaxy FAQ |
|
|
purlGTN:F00129 |
FAQs |
Importación por medio de enlaces
|
Galaxy FAQ |
|
|
purlGTN:F00040 |
FAQs |
Importing via links
|
Galaxy FAQ |
|
|
purlGTN:F00178 |
FAQs |
Importer via un lien
|
Galaxy FAQ |
|
|
purlGTN:F00041 |
FAQs |
Understanding job statuses
|
Galaxy FAQ |
|
|
purlGTN:F00042 |
FAQs |
Moving datasets between Galaxy servers
|
Galaxy FAQ |
|
|
purlGTN:F00404 |
FAQs |
Manipulating multiple history datasets
|
Galaxy FAQ |
|
|
purlGTN:F00043 |
FAQs |
Datasets not downloading at all
|
Galaxy FAQ |
|
|
purlGTN:F00044 |
FAQs |
Purging datasets
|
Galaxy FAQ |
|
|
purlGTN:F00045 |
FAQs |
Quotas for datasets and histories
|
Galaxy FAQ |
|
|
purlGTN:F00046 |
FAQs |
Renaming a dataset
|
Galaxy FAQ |
|
|
purlGTN:F00405 |
FAQs |
How to un-delete datasets?
|
Galaxy FAQ |
|
|
purlGTN:F00406 |
FAQs |
How to un-hide datasets?
|
Galaxy FAQ |
|
|
purlGTN:F00047 |
FAQs |
Upload few files (1-10)
|
Galaxy FAQ |
|
|
purlGTN:F00363 |
FAQs |
Upload datasets from GenomeArk
|
Galaxy FAQ |
|
|
purlGTN:F00048 |
FAQs |
Upload many files (>10) via FTP
|
Galaxy FAQ |
|
|
purlGTN:F00049 |
FAQs |
Working with deleted datasets
|
Galaxy FAQ |
|
|
purlGTN:F00050 |
FAQs |
Working with very large fasta datasets
|
Galaxy FAQ |
|
|
purlGTN:F00051 |
FAQs |
Working with very large fastq datasets
|
Galaxy FAQ |
|
|
purlGTN:F00052 |
FAQs |
Working with GFF GFT GTF2 GFF3 reference annotation
|
Galaxy FAQ |
|
|
purlGTN:F00053 |
FAQs |
Using compressed fastq data as tool inputs
|
Galaxy FAQ |
|
|
purlGTN:F00054 |
FAQs |
Best practices for loading fastq data into Galaxy
|
Galaxy FAQ |
|
|
purlGTN:F00055 |
FAQs |
How do `fastq.gz` datasets relate to the `.fastqsanger` datatype metadata assignment?
|
Galaxy FAQ |
|
|
purlGTN:F00056 |
FAQs |
Compressed FASTQ files, (`*.gz`)
|
Galaxy FAQ |
|
|
purlGTN:F00057 |
FAQs |
How to format fastq data for tools that require .fastqsanger format?
|
Galaxy FAQ |
|
|
purlGTN:F00058 |
FAQs |
FASTQ files: `fastq` vs `fastqsanger` vs ..
|
Galaxy FAQ |
|
|
purlGTN:F00059 |
FAQs |
Identifying and formatting Tabular Datasets
|
Galaxy FAQ |
|
|
purlGTN:F00060 |
FAQs |
Understanding Datatypes
|
Galaxy FAQ |
|
|
purlGTN:F00061 |
FAQs |
How can I upload data using EBI-SRA?
|
Galaxy FAQ |
|
|
purlGTN:F00062 |
FAQs |
Data retrieval with “NCBI SRA Tools” (fastq-dump)
|
Galaxy FAQ |
|
|
purlGTN:F00063 |
FAQs |
NCBI SRA sourced fastq data
|
Galaxy FAQ |
|
|
purlGTN:F00333 |
FAQs |
The tutorial uses the normalised count table for visualisation. What about using VST normalised counts or rlog normalised counts?
|
Transcriptomics |
|
|
purlGTN:F00299 |
FAQs |
What software tools are available to determine taxonomic composition from mass spectrometry data?
|
Proteomics |
|
|
purlGTN:F00331 |
FAQs |
Could I use a different p-adj value for filtering differentially expressed genes?
|
Transcriptomics |
|
|
purlGTN:F00329 |
FAQs |
I get a different number of transcripts with a significant change in gene expression between the G1E and megakaryocyte cellular states. Why?
|
Transcriptomics |
|
|
purlGTN:F00196 |
FAQs |
How to read a Diff
|
Galaxy Server administration |
|
|
purlGTN:F00226 |
FAQs |
Why do we do dimension reduction and then clustering? Why not just cluster on the actual data?
|
Single Cell |
|
|
purlGTN:F00278 |
FAQs |
What is the principle of an enrichment analysis?
|
Proteomics |
|
|
purlGTN:F00246 |
FAQs |
My Rscript tool generates a strange R error on STDOUT about an invalid operation on a closure called 'args' ?
|
Development in Galaxy |
|
|
purlGTN:F00247 |
FAQs |
`docker-compose up` fails with error `/usr/bin/start.sh: line 133: /galaxy/.venv/bin/uwsgi: No such file or directory`
|
Development in Galaxy |
|
|
purlGTN:F00260 |
FAQs |
Where can I find example queries for use in the cloud and elsewhere?
|
Using Galaxy and Managing your Data |
|
|
purlGTN:F00148 |
FAQs |
How does the GTN ensure our training materials are FAIR?
|
GTN FAQ |
|
|
purlGTN:F00224 |
FAQs |
FASTQ format
|
Sequence analysis |
|
|
purlGTN:F00372 |
FAQs |
Why do we use FASTQ interlacer and not the FASTQ joiner?
|
Microbiome |
|
|
purlGTN:F00130 |
FAQs |
Uso del cuaderno de apuntes para ver varios conjuntos de datos
|
Galaxy FAQ |
|
|
purlGTN:F00064 |
FAQs |
Using the Window Manager to view multiple datasets
|
Galaxy FAQ |
|
|
purlGTN:F00217 |
FAQs |
UCSC - I fetched data from a remote website but now I’m logged out of Galaxy and my data is gone?
|
Introduction to Galaxy Analyses |
|
|
purlGTN:F00322 |
FAQs |
My Scanpy FindMarkers step is giving me an empty table
|
Single Cell |
|
|
purlGTN:F00215 |
FAQs |
Flatten a list of list of paired datasets into a list of paired datasets
|
Using Galaxy and Managing your Data |
|
|
purlGTN:F00248 |
FAQs |
What file/data formats are defined for I/O in Galaxy?
|
Development in Galaxy |
|
|
purlGTN:F00300 |
FAQs |
Why do we do dimension reduction and then clustering? Why not just cluster on the actual data?
|
Proteomics |
|
|
purlGTN:F00317 |
FAQs |
Where can I read more about Quality Control of data?
|
Sequence analysis |
|
|
purlGTN:F00197 |
FAQs |
Blank page or no CSS/JavaScript
|
Galaxy Server administration |
|
|
purlGTN:F00198 |
FAQs |
How many mules?
|
Galaxy Server administration |
|
|
purlGTN:F00199 |
FAQs |
Debugging tool errors
|
Galaxy Server administration |
|
|
purlGTN:F00200 |
FAQs |
Debugging tool memory errors
|
Galaxy Server administration |
|
|
purlGTN:F00201 |
FAQs |
Tool missing from Galaxy
|
Galaxy Server administration |
|
|
purlGTN:F00202 |
FAQs |
Galaxy UI is slow
|
Galaxy Server administration |
|
|
purlGTN:F00357 |
FAQs |
Updating from 22.01 to 23.0 with Ansible
|
Galaxy Server administration |
|
|
purlGTN:F00218 |
FAQs |
My Galaxy looks different than in the tutorial/video
|
Introduction to Galaxy Analyses |
|
|
purlGTN:F00149 |
FAQs |
Are there any upcoming events focused on Galaxy Training?
|
GTN FAQ |
|
|
purlGTN:F00180 |
FAQs |
Compatible Versions of Galaxy
|
GTN FAQ |
|
|
purlGTN:F00150 |
FAQs |
Ways to use Galaxy
|
GTN FAQ |
|
|
purlGTN:F00151 |
FAQs |
What is Galaxy?
|
GTN FAQ |
|
|
purlGTN:F00279 |
FAQs |
What is Gene Ontology (GO)?
|
Proteomics |
|
|
purlGTN:F00227 |
FAQs |
What exactly is a ‘Gene profile’?
|
Single Cell |
|
|
purlGTN:F00152 |
FAQs |
How can I load data?
|
GTN FAQ |
|
|
purlGTN:F00244 |
FAQs |
Where can I get planemo?
|
Development in Galaxy |
|
|
purlGTN:F00203 |
FAQs |
Using Git With Ansible Vaults
|
Galaxy Server administration |
|
|
purlGTN:F00204 |
FAQs |
Time to git commit
|
Galaxy Server administration |
|
|
purlGTN:F00205 |
FAQs |
Galaxy Admin Training Path
|
Galaxy Server administration |
|
|
purlGTN:F00417 |
FAQs |
What's the Galaxy Community Board?
|
Galaxy Community Building |
|
|
purlGTN:F00418 |
FAQs |
How do I join the Galaxy Community Board?
|
Galaxy Community Building |
|
|
purlGTN:F00419 |
FAQs |
What is the Galaxy Governance Structure?
|
Galaxy Community Building |
|
|
purlGTN:F00422 |
FAQs |
Using tutorial mode and the Case Study suite
|
Single Cell |
|
|
purlGTN:F00153 |
FAQs |
What is this website?
|
GTN FAQ |
|
|
purlGTN:F00154 |
FAQs |
How can I advertise the training materials on my posters?
|
GTN FAQ |
|
|
purlGTN:F00155 |
FAQs |
What audiences are the tutorials for?
|
GTN FAQ |
|
|
purlGTN:F00156 |
FAQs |
How can I cite the GTN?
|
GTN FAQ |
|
|
purlGTN:F00399 |
FAQs |
Creating a GTN Event
|
GTN FAQ |
|
|
purlGTN:F00398 |
FAQs |
Using Answer Key Histories
|
GTN FAQ |
|
|
purlGTN:F00402 |
FAQs |
Creating a GTN FAQ
|
GTN FAQ |
|
|
purlGTN:F00157 |
FAQs |
How is the content licensed?
|
GTN FAQ |
|
|
purlGTN:F00352 |
FAQs |
What licenses are used in the GTN?
|
GTN FAQ |
|
|
purlGTN:F00158 |
FAQs |
Creating a GTN News post
|
GTN FAQ |
|
|
purlGTN:F00159 |
FAQs |
GTN Stats
|
GTN FAQ |
|
|
purlGTN:F00160 |
FAQs |
Sustainability of the training-material and metadata
|
GTN FAQ |
|
|
purlGTN:F00161 |
FAQs |
What are the tutorials for?
|
GTN FAQ |
|
|
purlGTN:F00162 |
FAQs |
Adding workflow tests with Planemo
|
GTN FAQ |
|
|
purlGTN:F00256 |
FAQs |
Changing the heatmap colours
|
Epigenetics |
|
|
purlGTN:F00407 |
FAQs |
History annotation
|
Galaxy FAQ |
|
|
purlGTN:F00065 |
FAQs |
Copy a dataset between histories
|
Galaxy FAQ |
|
|
purlGTN:F00131 |
FAQs |
Para la creación de un historial nuevo
|
Galaxy FAQ |
|
|
purlGTN:F00066 |
FAQs |
Creating a new history
|
Galaxy FAQ |
|
|
purlGTN:F00179 |
FAQs |
Créer un nouvel history
|
Galaxy FAQ |
|
|
purlGTN:F00408 |
FAQs |
Dataset colors
|
Galaxy FAQ |
|
|
purlGTN:F00409 |
FAQs |
Dataset snippet
|
Galaxy FAQ |
|
|
purlGTN:F00410 |
FAQs |
Datasets versus collections
|
Galaxy FAQ |
|
|
purlGTN:F00067 |
FAQs |
Downloading histories
|
Galaxy FAQ |
|
|
purlGTN:F00068 |
FAQs |
Find all Histories and purge (aka permanently delete)
|
Galaxy FAQ |
|
|
purlGTN:F00069 |
FAQs |
Finding Histories
|
Galaxy FAQ |
|
|
purlGTN:F00070 |
FAQs |
Importing a history
|
Galaxy FAQ |
|
|
purlGTN:F00393 |
FAQs |
View a list of all histories
|
Galaxy FAQ |
|
|
purlGTN:F00411 |
FAQs |
History options
|
Galaxy FAQ |
|
|
purlGTN:F00132 |
FAQs |
Cambiando el nombre de un historial
|
Galaxy FAQ |
|
|
purlGTN:F00071 |
FAQs |
Renaming a history
|
Galaxy FAQ |
|
|
purlGTN:F00072 |
FAQs |
Searching your history
|
Galaxy FAQ |
|
|
purlGTN:F00073 |
FAQs |
Finding and working with "Histories shared with me"
|
Galaxy FAQ |
|
|
purlGTN:F00133 |
FAQs |
Compartiendo un historial
|
Galaxy FAQ |
|
|
purlGTN:F00074 |
FAQs |
Sharing your History
|
Galaxy FAQ |
|
|
purlGTN:F00394 |
FAQs |
View histories side-by-side
|
Galaxy FAQ |
|
|
purlGTN:F00412 |
FAQs |
Switching to an existing history
|
Galaxy FAQ |
|
|
purlGTN:F00413 |
FAQs |
History tagging
|
Galaxy FAQ |
|
|
purlGTN:F00414 |
FAQs |
Top level history controls
|
Galaxy FAQ |
|
|
purlGTN:F00075 |
FAQs |
Transfer entire histories from one Galaxy server to another
|
Galaxy FAQ |
|
|
purlGTN:F00076 |
FAQs |
Undeleting history
|
Galaxy FAQ |
|
|
purlGTN:F00077 |
FAQs |
Unsharing unwanted histories
|
Galaxy FAQ |
|
|
purlGTN:F00383 |
FAQs |
What does `^.*Gallus|Homo|Bos.*$` mean?
|
Microbiome |
|
|
purlGTN:F00384 |
FAQs |
For preprocessing part with host removal: Where do you find the abbreviations for each host species available (e.g. bos is cow, homo is human..)?
|
Microbiome |
|
|
purlGTN:F00211 |
FAQs |
Most tools seem to have options for assembly using long and short reads, what are the pros and cons of the different tools?
|
Assembly |
|
|
purlGTN:F00239 |
FAQs |
Which icons are available to use in my tutorial?
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:F00385 |
FAQs |
From where can I import other genomes?
|
Microbiome |
|
|
purlGTN:F00334 |
FAQs |
When is the "infer experiment" tool used in practice?
|
Transcriptomics |
|
|
purlGTN:F00424 |
FAQs |
Input Histories & Answer Keys
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:F00377 |
FAQs |
The input for a tool is not listed in the dropdown
|
Microbiome |
|
|
purlGTN:F00380 |
FAQs |
The input for a tool is not listed in the dropdown
|
Microbiome |
|
|
purlGTN:F00206 |
FAQs |
Install tools via the Admin UI
|
Galaxy Server administration |
|
|
purlGTN:F00164 |
FAQs |
What are the best practices for teaching with Galaxy?
|
GTN FAQ |
|
|
purlGTN:F00165 |
FAQs |
What Galaxy instance should I use for my training?
|
GTN FAQ |
|
|
purlGTN:F00166 |
FAQs |
How do I get help?
|
GTN FAQ |
|
|
purlGTN:F00167 |
FAQs |
Where do I start?
|
GTN FAQ |
|
|
purlGTN:F00079 |
FAQs |
Launch JupyterLab
|
Galaxy FAQ |
|
|
purlGTN:F00080 |
FAQs |
Open a Terminal in Jupyter
|
Galaxy FAQ |
|
|
purlGTN:F00081 |
FAQs |
Open interactive tool
|
Galaxy FAQ |
|
|
purlGTN:F00082 |
FAQs |
Knitting RMarkdown documents in RStudio
|
Galaxy FAQ |
|
|
purlGTN:F00083 |
FAQs |
Launch RStudio
|
Galaxy FAQ |
|
|
purlGTN:F00084 |
FAQs |
Learning with RMarkdown in RStudio
|
Galaxy FAQ |
|
|
purlGTN:F00085 |
FAQs |
Stop RStudio
|
Galaxy FAQ |
|
|
TBA |
Slides |
Introduction to Muon Spectroscopy
|
Materials Science |
|
|
TBA |
Slides |
Introduction to Synthetic Biology
|
Synthetic Biology |
|
|
TBA |
Slides |
Galaxy from a developer point of view
|
Development in Galaxy |
|
|
purlGTN:F00315 |
FAQs |
JBrowse is taking a long time to complete?
|
Sequence analysis |
|
|
purlGTN:F00249 |
FAQs |
First job I submitted remains grey or running for a long time - is it broken?
|
Development in Galaxy |
|
|
purlGTN:F00386 |
FAQs |
Is there a way to filter on the Kalimari database?
|
Microbiome |
|
|
purlGTN:F00338 |
FAQs |
TB Variant Report crashes (with an error about KeyError: 'protein')
|
Variant Analysis |
|
|
purlGTN:F00370 |
FAQs |
Kraken2 and the k-mer approach for taxonomy classification
|
Microbiome |
|
|
purlGTN:F00169 |
FAQs |
How can I get help?
|
GTN FAQ |
|
|
purlGTN:F00170 |
FAQs |
Where do I start?
|
GTN FAQ |
|
|
purlGTN:F00171 |
FAQs |
Where can I run the hands-on tutorials?
|
GTN FAQ |
|
|
purlGTN:F00172 |
FAQs |
How do I use this material?
|
GTN FAQ |
|
|
purlGTN:F00213 |
FAQs |
Defining a Learning Pathway
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:F00207 |
FAQs |
Library Permission Issues
|
Galaxy Server administration |
|
|
purlGTN:F00250 |
FAQs |
Why do I need that big (~5GB!) complicated Docker thing - can I just install the ToolFactory into our local galaxy server from the toolshed?
|
Development in Galaxy |
|
|
purlGTN:F00219 |
FAQs |
My jobs are not running / I cannot see the history overview menu
|
Introduction to Galaxy Analyses |
|
|
purlGTN:F00208 |
FAQs |
Failing all jobs from a specific user
|
Galaxy Server administration |
|
|
purlGTN:F00209 |
FAQs |
Mapping Jobs to Specific Storage By User
|
Galaxy Server administration |
|
|
purlGTN:F00287 |
FAQs |
When can you use (or cannot use) Match between runs in MaxQuant?
|
Proteomics |
|
|
purlGTN:F00420 |
FAQs |
How can I plan meetings across timezones?
|
Galaxy Community Building |
|
|
purlGTN:F00288 |
FAQs |
Do you need to merge the databases? Because you can select multiple fasta files in MaxQuant.
|
Proteomics |
|
|
purlGTN:F00261 |
FAQs |
Where can I find the full listing and description of the columns in each metadata table?
|
Using Galaxy and Managing your Data |
|
|
purlGTN:F00210 |
FAQs |
Got lost along the way?
|
Galaxy Server administration |
|
|
purlGTN:F00378 |
FAQs |
Where can I read more about this analysis?
|
Microbiome |
|
|
purlGTN:F00381 |
FAQs |
Where can I read more about this analysis?
|
Microbiome |
|
|
purlGTN:F00289 |
FAQs |
If you use a mqpar file, can you include modifications that are not in the Galaxy version? For instance, propionamide (Cys alkylation by acrylamide).
|
Proteomics |
|
|
purlGTN:F00373 |
FAQs |
Can we use the ASaiM-MT workflow on multiple input files at the same time?
|
Microbiome |
|
|
purlGTN:F00318 |
FAQs |
MultiQC error for your FastQC reports?
|
Sequence analysis |
|
|
purlGTN:F00313 |
FAQs |
In the MVP platform, is it possible to view the genomic location of all the peptides?
|
Proteomics |
|
|
purlGTN:F00369 |
FAQs |
What is my.galaxy.training
|
GTN FAQ |
|
|
purlGTN:F00425 |
FAQs |
Using the new Contributions Annotation framework
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:F00241 |
FAQs |
I cannot run client tests because yarn is not installed.
|
Development in Galaxy |
|
|
purlGTN:F00290 |
FAQs |
What does it mean to normalize the LFQ intensities?
|
Proteomics |
|
|
purlGTN:F00355 |
FAQs |
Notebook-based tutorials can give different outputs
|
Single Cell |
|
|
purlGTN:F00262 |
FAQs |
When will aligned read objects be available for other data types?
|
Using Galaxy and Managing your Data |
|
|
purlGTN:F00291 |
FAQs |
Does MaxQuant give as output possibility the PSMs and PEPs?
|
Proteomics |
|
|
purlGTN:F00319 |
FAQs |
When I get a warning for base per sequence content, what should I do?
|
Sequence analysis |
|
|
purlGTN:F00237 |
FAQs |
Running more than one round of Pilon polishing
|
Assembly |
|
|
purlGTN:F00251 |
FAQs |
Only one Planemo test runs at a time. Why doesn't the server allow more than one at once?
|
Development in Galaxy |
|
|
purlGTN:F00323 |
FAQs |
On Scanpy PlotEmbed, the tool is failing
|
Single Cell |
|
|
purlGTN:F00324 |
FAQs |
On the Scanpy PlotEmbed step, my object doesn’t have Il2ra or Cd8b1 or Cd8a etc.
|
Single Cell |
|
|
purlGTN:F00238 |
FAQs |
Can we polish the assembly with long reads too?
|
Assembly |
|
|
purlGTN:F00086 |
FAQs |
Getting your API key
|
Galaxy FAQ |
|
|
purlGTN:F00308 |
FAQs |
Example histories for the proteogenomics tutorials
|
Proteomics |
|
|
purlGTN:F00309 |
FAQs |
Can I use these workflows on datasets generated from our laboratory?
|
Proteomics |
|
|
purlGTN:F00310 |
FAQs |
The workflows contain several Query tabular for text manipulation, is there a tutorial for that?
|
Proteomics |
|
|
purlGTN:F00311 |
FAQs |
What kind of variants are seen in the output?
|
Proteomics |
|
|
purlGTN:F00327 |
FAQs |
How do I know what protocol my data was sequenced with?
|
Single Cell |
|
|
purlGTN:F00351 |
FAQs |
Debugging Memory Leaks
|
Galaxy Server administration |
|
|
purlGTN:F00263 |
FAQs |
Why don't the aligned read files have quality scores?
|
Using Galaxy and Managing your Data |
|
|
purlGTN:F00350 |
FAQs |
Quality Scores
|
Sequence analysis |
|
|
purlGTN:F00332 |
FAQs |
Can I use alternative tools for the Quantification step?
|
Transcriptomics |
|
|
purlGTN:F00292 |
FAQs |
For the “quantitation method” what is the default if I just leave it as “None”? Label free?
|
Proteomics |
|
|
purlGTN:F00266 |
FAQs |
Why does the query `SRR11772204 OR SRR11597145 OR SRR11667145` in the Run Selector not return any results?
|
Introduction to Galaxy Analyses |
|
|
purlGTN:F00328 |
FAQs |
Are Barcodes always on R1 and Sequence data on R2?
|
Single Cell |
|
|
purlGTN:F00400 |
FAQs |
Adding your recording to a tutorial or slide deck
|
GTN FAQ |
|
|
purlGTN:F00401 |
FAQs |
Recording a video tutorial
|
GTN FAQ |
|
|
purlGTN:F00087 |
FAQs |
How to use Custom Reference Genomes?
|
Galaxy FAQ |
|
|
purlGTN:F00088 |
FAQs |
Sorting Reference Genome
|
Galaxy FAQ |
|
|
purlGTN:F00089 |
FAQs |
Troubleshooting Custom Genome fasta
|
Galaxy FAQ |
|
|
purlGTN:F00387 |
FAQs |
Isn't it awkward to find so many humans sequences there, since we filter for them before?
|
Microbiome |
|
|
purlGTN:F00358 |
FAQs |
Preparing materials for asynchronous learning: CYOA
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:F00359 |
FAQs |
Preparing materials for asynchronous learning: FAQs
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:F00360 |
FAQs |
Preparing materials for asynchronous learning: Self-Study
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:F00361 |
FAQs |
Preparing materials for asynchronous learning: Tips
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:F00252 |
FAQs |
Is the ToolFactory a complete replacement for manual tool building?
|
Development in Galaxy |
|
|
purlGTN:F00395 |
FAQs |
Making an element collapsible in a report
|
Galaxy FAQ |
|
|
purlGTN:F00396 |
FAQs |
Enhancing tabular dataset previews in reports/pages
|
Galaxy FAQ |
|
|
purlGTN:F00223 |
FAQs |
Additional resources to learn more about proteomic data analysis
|
Proteomics |
|
|
purlGTN:F00301 |
FAQs |
Can I use these workflows on datasets generated from our laboratory?
|
Proteomics |
|
|
purlGTN:F00335 |
FAQs |
Is it possible to visualize the RNA STAR bam file using the JBrowse tool?
|
Transcriptomics |
|
|
purlGTN:F00336 |
FAQs |
RNAstar: Why do we set 36 for 'Length of the genomic sequence around annotated junctions'?
|
Transcriptomics |
|
|
purlGTN:F00339 |
FAQs |
My snippy is running for a very long time. Is this normal?
|
Variant Analysis |
|
|
purlGTN:F00265 |
FAQs |
What should I do special if on usegalaxy.be?
|
Using Galaxy and Managing your Data |
|
|
purlGTN:F00421 |
FAQs |
Why is my tool erroring as 'Above error raised while reading key '/layers' of type from /.'
|
Single Cell |
|
|
purlGTN:F00302 |
FAQs |
Which search algorithms are recommended for searching the metaproteomics data?
|
Proteomics |
|
|
purlGTN:F00314 |
FAQs |
How many search engines can you use in SearchGUI?
|
Proteomics |
|
|
purlGTN:F00303 |
FAQs |
I have a really large search database, what search strategies do you recommend for searching my mass spectrometry dataset?
|
Proteomics |
|
|
purlGTN:F00242 |
FAQs |
When I try to run a Selenium test, I get an error
|
Development in Galaxy |
|
|
purlGTN:F00090 |
FAQs |
Illumina MiSeq sequencing
|
Galaxy FAQ |
|
|
purlGTN:F00091 |
FAQs |
Nanopore sequencing
|
Galaxy FAQ |
|
|
purlGTN:F00415 |
FAQs |
Finding a material's PURL or Short URL
|
GTN FAQ |
|
|
purlGTN:F00293 |
FAQs |
How many proteins can be identified and quantified in shotgun proteomics?
|
Proteomics |
|
|
purlGTN:F00353 |
FAQs |
Use our Single Cell Omics Lab
|
Single Cell |
|
|
purlGTN:F00374 |
FAQs |
Can this ASaiM workflow be used for single-end data?
|
Microbiome |
|
|
purlGTN:S00114 |
Slides |
Introduction to Microbiome Analysis
|
Microbiome |
|
|
purlGTN:S00115 |
Slides |
Introduction to metatranscriptomics
|
Microbiome |
|
|
purlGTN:S00082 |
Slides |
Quality Control
|
Sequence analysis |
|
1h |
purlGTN:S00081 |
Slides |
Mapping
|
Sequence analysis |
|
1h |
purlGTN:S00109 |
Slides |
Bioinformatics Data Types and Databases
|
Foundations of Data Science |
|
1h |
purlGTN:S00113 |
Slides |
A brief history of modern biology
|
Foundations of Data Science |
|
|
purlGTN:S00121 |
Slides |
Phylogenetics - Back to Basics - Building Trees
|
Evolution |
|
|
purlGTN:S00116 |
Slides |
Phylogenetics - Back to Basics - Introduction
|
Evolution |
|
|
purlGTN:S00119 |
Slides |
Phylogenetics - Back to Basics - Phylogenetic Networks
|
Evolution |
|
|
purlGTN:S00117 |
Slides |
Phylogenetics - Back to Basics - Estimating trees from alignments
|
Evolution |
|
|
purlGTN:S00118 |
Slides |
Phylogenetics - Back to Basics - Multiple Sequence Alignment
|
Evolution |
|
|
purlGTN:S00120 |
Slides |
Phylogenetics - Back to Basics - Terminology
|
Evolution |
|
|
purlGTN:S00069 |
Slides |
Introduction to Genome Annotation
|
Genome Annotation |
Intermediate |
|
purlGTN:S00067 |
Slides |
Introduction to CRISPR screen analysis
|
Genome Annotation |
|
5m |
purlGTN:S00068 |
Slides |
High Performance Computing for Pairwise Genome Comparison
|
Genome Annotation |
|
2h |
purlGTN:S00066 |
Slides |
Refining Genome Annotations with Apollo prokaryote |
Genome Annotation |
|
5m |
purlGTN:S00065 |
Slides |
Genome annotation with Prokka prokaryote |
Genome Annotation |
|
1h |
purlGTN:S00070 |
Slides |
Essential genes detection with Transposon insertion sequencing bacteriatnseqessential genes |
Genome Annotation |
|
7H |
purlGTN:S00075 |
Slides |
Options for using Galaxy
|
Introduction to Galaxy Analyses |
|
|
purlGTN:S00073 |
Slides |
Introduction to Galaxy
|
Introduction to Galaxy Analyses |
|
|
purlGTN:S00072 |
Slides |
A Short Introduction to Galaxy
|
Introduction to Galaxy Analyses |
|
|
purlGTN:S00036 |
Slides |
Functionally Assembled Terrestrial Ecosystem Simulator (FATES) climateecology |
Climate |
|
30m |
purlGTN:S00037 |
Slides |
Introduction to climate data
|
Climate |
|
|
purlGTN:S00038 |
Slides |
Pangeo ecosystem 101 for everyone climate |
Climate |
|
15m |
purlGTN:S00039 |
Slides |
The Pangeo ecosystem climate |
Climate |
|
15m |
purlGTN:S00080 |
Slides |
Introduction to proteomics, protein identification, quantification and statistical modelling
|
Proteomics |
|
|
purlGTN:S00042 |
Slides |
Overview of the Galaxy Training Material
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:S00041 |
Slides |
Contributing with GitHub via command-line
|
Contributing to the Galaxy Training Material |
|
30m |
purlGTN:S00040 |
Slides |
Creating Slides
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:S00032 |
Slides |
De Bruijn Graph Assembly
|
Assembly |
|
2h |
purlGTN:S00029 |
Slides |
Deeper look into Genome Assembly algorithms
|
Assembly |
Intermediate |
|
purlGTN:S00035 |
Slides |
Unicycler Assembly prokaryote |
Assembly |
|
4h |
purlGTN:S00034 |
Slides |
An introduction to get started in genome assembly and annotation
|
Assembly |
Introductory |
1h |
purlGTN:S00031 |
Slides |
Unicycler assembly of SARS-CoV-2 genome with preprocessing to remove human genome reads covid19 |
Assembly |
|
4h |
purlGTN:S00033 |
Slides |
An Introduction to Genome Assembly
|
Assembly |
|
30m |
purlGTN:S00030 |
Slides |
Genome assembly quality control.
|
Assembly |
Introductory |
|
purlGTN:S00099 |
Slides |
Introduction to Variant analysis
|
Variant Analysis |
|
|
purlGTN:S00062 |
Slides |
Getting data into Galaxy
|
Using Galaxy and Managing your Data |
|
|
purlGTN:S00063 |
Slides |
Introduction to SRA Aligned Read Format and Cloud Metadata for SARS-CoV-2 ncbicovid19 |
Using Galaxy and Managing your Data |
|
10m |
purlGTN:S00061 |
Slides |
Galaxy workflows in Dockstore
|
Using Galaxy and Managing your Data |
|
|
purlGTN:S00064 |
Slides |
Submitting SARS-CoV-2 sequences to ENA
|
Using Galaxy and Managing your Data |
|
1h |
purlGTN:S00071 |
Slides |
Nucleoli Segmentation & Feature Extraction using CellProfiler
|
Imaging |
|
4H |
purlGTN:S00110 |
Slides |
Automated Cell Annotation
|
Single Cell |
|
|
purlGTN:S00084 |
Slides |
An introduction to scRNA-seq data analysis
|
Single Cell |
Intermediate |
30m |
purlGTN:S00086 |
Slides |
Dealing with Cross-Contamination in Fixed Barcode Protocols
|
Single Cell |
|
1h |
purlGTN:S00085 |
Slides |
Plates, Batches, and Barcodes
|
Single Cell |
|
1h |
purlGTN:S00123 |
Slides |
Single-cell Formats and Resources
|
Single Cell |
|
|
purlGTN:S00124 |
Slides |
GO Enrichment Analysis on Single-Cell RNA-Seq Data
|
Single Cell |
|
1h |
purlGTN:S00111 |
Slides |
Trajectory analysis
|
Single Cell |
|
|
purlGTN:S00087 |
Slides |
Clustering 3K PBMCs with Scanpy
|
Single Cell |
|
1H |
purlGTN:S00058 |
Slides |
ChIP-seq data analysis
|
Epigenetics |
|
15M |
purlGTN:S00056 |
Slides |
Introduction to ATAC-Seq data analysis
|
Epigenetics |
|
30m |
purlGTN:S00060 |
Slides |
Introduction to DNA Methylation data analysis
|
Epigenetics |
|
|
purlGTN:S00059 |
Slides |
Introduction to ChIP-Seq data analysis
|
Epigenetics |
|
|
purlGTN:S00057 |
Slides |
EWAS Epigenome-Wide Association Studies Introduction
|
Epigenetics |
|
|
purlGTN:S00108 |
Slides |
Identification of non-canonical ORFs and their potential biological function
|
Transcriptomics |
|
|
purlGTN:S00096 |
Slides |
Network Analysis with Heinz
|
Transcriptomics |
|
|
purlGTN:S00094 |
Slides |
Introduction to Transcriptomics
|
Transcriptomics |
|
|
purlGTN:S00095 |
Slides |
Whole transcriptome analysis of Arabidopsis thaliana
|
Transcriptomics |
|
|
purlGTN:S00097 |
Slides |
Integrate and query local datasets and distant RDF data with AskOmics using Semantic Web technologies
|
Transcriptomics |
|
|
purlGTN:S00098 |
Slides |
Visualization of RNA-Seq results with CummeRbund
|
Transcriptomics |
|
1h |
purlGTN:S00077 |
Slides |
Mass spectrometry: LC-MS preprocessing - advanced
|
Metabolomics |
|
|
purlGTN:S00076 |
Slides |
Introduction to Metabolomics
|
Metabolomics |
|
|
purlGTN:S00125 |
Slides |
Predicting EI+ mass spectra with QCxMS
|
Metabolomics |
|
|
purlGTN:S00050 |
Slides |
Introduction to the ToolFactory tutorial.
|
Development in Galaxy |
|
|
purlGTN:S00048 |
Slides |
Galaxy Interactive Environments
|
Development in Galaxy |
|
90m |
purlGTN:S00046 |
Slides |
Prerequisites for building software/conda packages
|
Development in Galaxy |
|
1h |
purlGTN:S00052 |
Slides |
Tool Shed: sharing Galaxy tools
|
Development in Galaxy |
|
3h |
purlGTN:S00053 |
Slides |
Visualizations: JavaScript Plugins
|
Development in Galaxy |
|
1h |
purlGTN:S00047 |
Slides |
Tool Dependencies and Containers
|
Development in Galaxy |
|
45m |
purlGTN:S00045 |
Slides |
Tool Dependencies and Conda
|
Development in Galaxy |
|
75m |
purlGTN:S00054 |
Slides |
Generic plugins
|
Development in Galaxy |
|
90m |
purlGTN:S00044 |
Slides |
Scripting Galaxy using the API and BioBlend
|
Development in Galaxy |
|
2h |
purlGTN:S00043 |
Slides |
Galaxy Code Architecture
|
Development in Galaxy |
|
150m |
purlGTN:S00051 |
Slides |
Tool development and integration into Galaxy
|
Development in Galaxy |
|
6h |
purlGTN:S00055 |
Slides |
Galaxy Webhooks
|
Development in Galaxy |
|
1h |
purlGTN:S00049 |
Slides |
Galaxy Interactive Tours
|
Development in Galaxy |
|
3h |
purlGTN:S00093 |
Slides |
Workshop Kickoff
|
Teaching and Hosting Galaxy training |
|
30m |
purlGTN:S00092 |
Slides |
Overview of the Galaxy Training Material for Instructors
|
Teaching and Hosting Galaxy training |
|
10M |
purlGTN:S00112 |
Slides |
Friends Don't Let Friends Make Bad Graphs
|
Visualisation |
|
|
purlGTN:S00101 |
Slides |
Visualisations in Galaxy
|
Visualisation |
|
|
purlGTN:S00100 |
Slides |
Circos
|
Visualisation |
|
|
purlGTN:S00102 |
Slides |
JBrowse
|
Visualisation |
|
|
purlGTN:S00010 |
Slides |
External Authentication
|
Galaxy Server administration |
|
|
purlGTN:S00025 |
Slides |
Galaxy Tool Management with Ephemeris
|
Galaxy Server administration |
|
|
purlGTN:S00020 |
Slides |
Running Jobs on Remote Resources with Pulsar jobs |
Galaxy Server administration |
|
60m |
purlGTN:S00013 |
Slides |
Galaxy Monitoring with gxadmin
|
Galaxy Server administration |
|
|
purlGTN:S00022 |
Slides |
Server: Other
|
Galaxy Server administration |
|
1h |
purlGTN:S00122 |
Slides |
Galaxy Administrator Time Burden and Technology Usage deployingmaintenancesurvey |
Galaxy Server administration |
|
|
purlGTN:S00014 |
Slides |
Galaxy Interactive Tools
|
Galaxy Server administration |
|
|
purlGTN:S00028 |
Slides |
uWSGI
|
Galaxy Server administration |
|
|
purlGTN:S00023 |
Slides |
Controlling Galaxy with systemd or Supervisor
|
Galaxy Server administration |
|
|
purlGTN:S00008 |
Slides |
Galactic Database
|
Galaxy Server administration |
|
|
purlGTN:S00004 |
Slides |
Galaxy on the Cloud
|
Galaxy Server administration |
|
|
purlGTN:S00015 |
Slides |
Galaxy from an administrator's point of view
|
Galaxy Server administration |
|
20m |
purlGTN:S00019 |
Slides |
Gearing towards production
|
Galaxy Server administration |
|
|
purlGTN:S00027 |
Slides |
User, Role, Group, Quota, and Authentication managment
|
Galaxy Server administration |
|
15m |
purlGTN:S00001 |
Slides |
Ansible
|
Galaxy Server administration |
|
|
purlGTN:S00002 |
Slides |
Galaxy Installation with Ansible
|
Galaxy Server administration |
|
|
purlGTN:S00017 |
Slides |
Galaxy Monitoring with Telegraf and Grafana
|
Galaxy Server administration |
|
|
purlGTN:S00012 |
Slides |
Galaxy Monitoring
|
Galaxy Server administration |
|
|
purlGTN:S00007 |
Slides |
Storage Management
|
Galaxy Server administration |
|
|
purlGTN:S00000 |
Slides |
Advanced customisation of a Galaxy instance
|
Galaxy Server administration |
|
|
purlGTN:S00026 |
Slides |
Galaxy Troubleshooting
|
Galaxy Server administration |
|
|
purlGTN:S00024 |
Slides |
Terraform
|
Galaxy Server administration |
|
|
purlGTN:S00103 |
Slides |
Server Maintenance: Cleanup, Backup, and Restoration
|
Galaxy Server administration |
|
30m |
purlGTN:S00005 |
Slides |
Connecting Galaxy to a compute cluster features |
Galaxy Server administration |
|
|
purlGTN:S00011 |
Slides |
Docker and Galaxy
|
Galaxy Server administration |
|
1h |
purlGTN:S00003 |
Slides |
Galaxy and Celery
|
Galaxy Server administration |
|
|
purlGTN:S00009 |
Slides |
Empathy
|
Galaxy Server administration |
|
|
purlGTN:S00018 |
Slides |
Storage Management
|
Galaxy Server administration |
|
|
purlGTN:S00006 |
Slides |
Reference Data with CVMFS
|
Galaxy Server administration |
|
|
purlGTN:S00021 |
Slides |
Reference Genomes in Galaxy
|
Galaxy Server administration |
|
|
purlGTN:S00107 |
Slides |
Contribute to the BioImage.IO models bioimageioimage analysis |
Image analysis using Deep Learning |
|
10m |
purlGTN:S00105 |
Slides |
BioImage Model Zoo: Advanced models in one-click bioimageioimage analysis |
Image analysis using Deep Learning |
|
5m |
purlGTN:S00106 |
Slides |
Welcome to the BioImage Model Zoo bioimageioimage analysis |
Image analysis using Deep Learning |
|
5m |
purlGTN:S00091 |
Slides |
Image classification in Galaxy with fruit 360 dataset
|
Statistics and machine learning |
|
2H |
purlGTN:S00088 |
Slides |
Convolutional neural networks (CNN)
Deep Learning - Part 3
|
Statistics and machine learning |
|
|
purlGTN:S00089 |
Slides |
Feedforward neural networks (FNN)
Deep Learning - Part 1
|
Statistics and machine learning |
|
|
purlGTN:S00090 |
Slides |
Recurrent neural networks (RNN)
Deep Learning - Part 2
|
Statistics and machine learning |
|
|
TBA |
Slides |
Una breve introducción a Galaxy
|
Introduction to Galaxy Analyses |
|
|
TBA |
Slides |
Introducción al análisis de datos de scRNA-seq single-cell |
Single Cell |
|
30m |
TBA |
Slides |
Una Breve Introducción a Galaxy
|
Introduction to Galaxy Analyses |
|
|
TBA |
Slides |
Una introducción al análisis de datos scRNA-seq single-cell |
Single Cell |
Intermediate |
30m |
purlGTN:F00316 |
FAQs |
What is a SNP?
|
Sequence analysis |
|
|
purlGTN:F00294 |
FAQs |
MSStats: what does ‘compare groups = yes’ mean? And the comparison matrix to define the contrast between the 2 groups?
|
Proteomics |
|
|
purlGTN:F00337 |
FAQs |
In 'infer experiments' I get unequal numbers, but in the IGV it looks like it is unstranded. What does this mean?
|
Transcriptomics |
|
|
purlGTN:F00304 |
FAQs |
What other methods are available to study the functional state of the microbiome within Galaxy?
|
Proteomics |
|
|
purlGTN:F00257 |
FAQs |
Is it possible to subsample some samples if you have more reads?
|
Epigenetics |
|
|
purlGTN:F00092 |
FAQs |
Where do I get more support?
|
Galaxy FAQ |
|
|
purlGTN:F00093 |
FAQs |
Contacting Galaxy Administrators
|
Galaxy FAQ |
|
|
purlGTN:F00371 |
FAQs |
What is Taxonomy?
|
Microbiome |
|
|
purlGTN:F00228 |
FAQs |
Can RNA-seq techniques be applied to scRNA-seq?
|
Single Cell |
|
|
purlGTN:F00264 |
FAQs |
Are these data free to use and download?
|
Using Galaxy and Managing your Data |
|
|
purlGTN:F00295 |
FAQs |
Does MaxQuant in Galaxy support TMT, iTRAQ, etc.?
|
Proteomics |
|
|
purlGTN:F00340 |
FAQs |
Do I have to run the tools in the order of the tutorial?
|
Variant Analysis |
|
|
purlGTN:F00094 |
FAQs |
Changing the tool version
|
Galaxy FAQ |
|
|
purlGTN:F00095 |
FAQs |
Organizing the tool panel
|
Galaxy FAQ |
|
|
purlGTN:F00096 |
FAQs |
Where is the tool help?
|
Galaxy FAQ |
|
|
purlGTN:F00097 |
FAQs |
Viewing tool logs (`stdout` and `stderr`)
|
Galaxy FAQ |
|
|
purlGTN:F00098 |
FAQs |
If a Tool is Missing
|
Galaxy FAQ |
|
|
purlGTN:F00135 |
FAQs |
Para volver a ejecutar una herramienta
|
Galaxy FAQ |
|
|
purlGTN:F00099 |
FAQs |
Re-running a tool
|
Galaxy FAQ |
|
|
purlGTN:F00100 |
FAQs |
Selecting a dataset collection as input
|
Galaxy FAQ |
|
|
purlGTN:F00101 |
FAQs |
Select multiple datasets
|
Galaxy FAQ |
|
|
purlGTN:F00102 |
FAQs |
Multipile similar tools available
|
Galaxy FAQ |
|
|
purlGTN:F00103 |
FAQs |
Sorting Tools
|
Galaxy FAQ |
|
|
purlGTN:F00104 |
FAQs |
Tool doesn't recognize input datasets
|
Galaxy FAQ |
|
|
purlGTN:F00305 |
FAQs |
Which version of SearchGUI and PeptideShaker shall I use for this tutorial?
|
Proteomics |
|
|
purlGTN:F00330 |
FAQs |
I’m using the same training data, tools, and parameters as the tutorial, but I get a different number of transcripts with a significant change in gene expression between the G1E and megakaryocyte cellular states. Why?
|
Transcriptomics |
|
|
purlGTN:F00416 |
FAQs |
Translations within the GTN
|
GTN FAQ |
|
|
purlGTN:F00105 |
FAQs |
Understanding 'canceled by admin' or cluster failure error messages
|
Galaxy FAQ |
|
|
purlGTN:F00106 |
FAQs |
Understanding 'exceeds memory allocation' error messages
|
Galaxy FAQ |
|
|
purlGTN:F00107 |
FAQs |
Understanding input error messages
|
Galaxy FAQ |
|
|
purlGTN:F00108 |
FAQs |
Understanding ValueError error messages
|
Galaxy FAQ |
|
|
purlGTN:F00109 |
FAQs |
Understanding walltime error messages
|
Galaxy FAQ |
|
|
purlGTN:T00459 |
Hands-on |
Identifying Mycorrhizal Fungi from ITS2 sequencing using LotuS2 fungiecology |
Microbiome |
|
3H |
purlGTN:T00447 |
Hands-on |
Calculating α and β diversity from microbiome taxonomic data metagenomicsdiversity |
Microbiome |
Introductory |
20M |
purlGTN:T00393 |
Hands-on |
Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition microgalaxyNanopore data analysisPathogens detectionPhylogenetic treeHeatmapcyoa |
Microbiome |
Introductory |
4h |
purlGTN:T00387 |
Hands-on |
Binning of metagenomic sequencing data binningmetagenomicsmicrogalaxy |
Microbiome |
Introductory |
2H |
purlGTN:T00392 |
Hands-on |
16S Microbial analysis with Nanopore data metabarcoding16Snanoporemicrogalaxyplants |
Microbiome |
|
2H |
purlGTN:T00390 |
Hands-on |
16S Microbial Analysis with mothur (extended) metabarcoding16Smicrogalaxy |
Microbiome |
|
6h |
purlGTN:T00412 |
Hands-on |
QIIME 2 Cancer Microbiome Intervention metabarcoding16Staxonomic profilingdiversitymicrogalaxy |
Microbiome |
|
10H |
purlGTN:T00394 |
Hands-on |
Antibiotic resistance detection nanoporeplasmidsassemblyamrmicrogalaxy |
Microbiome |
|
3h |
purlGTN:T00389 |
Hands-on |
Metatranscriptomics analysis using microbiome RNA-seq data (short) metatranscriptomicsmicrogalaxy |
Microbiome |
Introductory |
3H |
purlGTN:T00391 |
Hands-on |
16S Microbial Analysis with mothur (short) metabarcoding16Smicrogalaxy |
Microbiome |
|
2h |
purlGTN:T00441 |
Hands-on |
Building an amplicon sequence variant (ASV) table from 16S data using DADA2 metabarcoding16Smicrogalaxy |
Microbiome |
|
3H |
purlGTN:T00386 |
Hands-on |
Assembly of metagenomic sequencing data assemblymetagenomicsmicrogalaxy |
Microbiome |
Introductory |
2H |
purlGTN:T00427 |
Hands-on |
QIIME 2 Moving Pictures metagenomicstaxonomic profilingdiversitymicrogalaxy |
Microbiome |
|
10H |
purlGTN:T00395 |
Hands-on |
Taxonomic Profiling and Visualization of Metagenomic Data metagenomicstaxonomic profilingmicrogalaxy |
Microbiome |
Introductory |
2H |
purlGTN:T00384 |
Hands-on |
Identification of the micro-organisms in a beer using Nanopore sequencing nanoporebeercitizen sciencemetagenomicsmicrogalaxy |
Microbiome |
Introductory |
1H |
purlGTN:T00388 |
Hands-on |
Metatranscriptomics analysis using microbiome RNA-seq data metatranscriptomicsmicrogalaxy |
Microbiome |
Introductory |
5H |
purlGTN:T00385 |
Hands-on |
Analyses of metagenomics data - The global picture microgalaxy |
Microbiome |
|
2H30M |
purlGTN:T00239 |
Hands-on |
Quality Control
|
Sequence analysis |
Introductory |
1H30M |
purlGTN:T00237 |
Hands-on |
Mapping
|
Sequence analysis |
Introductory |
1h |
purlGTN:T00439 |
Hands-on |
Screening assembled genomes for contamination using NCBI FCS
|
Sequence analysis |
|
90M |
purlGTN:T00383 |
Hands-on |
Clean and manage Sanger sequences from raw files to aligned consensus
|
Sequence analysis |
|
1H |
purlGTN:T00446 |
Hands-on |
Quality and contamination control in bacterial isolate using Illumina MiSeq Data illuminabacteriamicrogalaxy |
Sequence analysis |
Introductory |
2H |
purlGTN:T00236 |
Hands-on |
Removal of human reads from SARS-CoV-2 sequencing data covid19 |
Sequence analysis |
Intermediate |
1h |
purlGTN:T00356 |
Hands-on |
SARS-CoV-2 Viral Sample Alignment and Variant Visualization covid19gmodjbrowse1 |
Sequence analysis |
Introductory |
1H |
purlGTN:T00238 |
Hands-on |
NCBI BLAST+ against the MAdLand plants |
Sequence analysis |
|
15m |
purlGTN:T00082 |
Hands-on |
Python - Argparse
|
Foundations of Data Science |
Intermediate |
30M |
purlGTN:T00093 |
Hands-on |
Python - Loops jupyter-notebook |
Foundations of Data Science |
Introductory |
40M |
purlGTN:T00359 |
Hands-on |
Learning about one gene across biological resources and formats
|
Foundations of Data Science |
Introductory |
1H |
purlGTN:T00076 |
Hands-on |
CLI basics bashjupyter-notebook |
Foundations of Data Science |
Introductory |
1H |
purlGTN:T00087 |
Hands-on |
Python - Files & CSV jupyter-notebook |
Foundations of Data Science |
Introductory |
1H30M |
purlGTN:T00419 |
Hands-on |
Data manipulation with Pandas jupyter-notebook |
Foundations of Data Science |
|
1h |
purlGTN:T00110 |
Hands-on |
SQL with R SQLRrmarkdown-notebookjupyter-notebook |
Foundations of Data Science |
Intermediate |
45M |
purlGTN:T00101 |
Hands-on |
Virtual Environments For Software Development jupyter-notebook |
Foundations of Data Science |
Intermediate |
30M |
purlGTN:T00100 |
Hands-on |
Python - Type annotations jupyter-notebook |
Foundations of Data Science |
Intermediate |
30M |
purlGTN:T00079 |
Hands-on |
Basics of using Git from the Command Line
|
Foundations of Data Science |
|
30m |
purlGTN:T00095 |
Hands-on |
Python - Multiprocessing jupyter-notebook |
Foundations of Data Science |
Advanced |
30M |
purlGTN:T00074 |
Hands-on |
Advanced CLI in Galaxy bashjupyter-notebook |
Foundations of Data Science |
Intermediate |
2H |
purlGTN:T00382 |
Hands-on |
A (very) brief history of genomics
|
Foundations of Data Science |
|
1h |
purlGTN:T00098 |
Hands-on |
Python - Testing jupyter-notebook |
Foundations of Data Science |
Intermediate |
45M |
purlGTN:T00398 |
Hands-on |
Introduction to sequencing with Python (part two) jupyter-notebook |
Foundations of Data Science |
|
1h |
purlGTN:T00075 |
Hands-on |
CLI Educational Game - Bashcrawl gamebashjupyter-notebook |
Foundations of Data Science |
Intermediate |
2H |
purlGTN:T00097 |
Hands-on |
Python - Subprocess jupyter-notebook |
Foundations of Data Science |
Intermediate |
45M |
purlGTN:T00084 |
Hands-on |
Python - Introductory Graduation jupyter-notebook |
Foundations of Data Science |
Introductory |
1H30M |
purlGTN:T00088 |
Hands-on |
Python - Flow Control jupyter-notebook |
Foundations of Data Science |
Introductory |
40M |
purlGTN:T00094 |
Hands-on |
Python - Math jupyter-notebook |
Foundations of Data Science |
Introductory |
30M |
purlGTN:T00411 |
Hands-on |
Introduction to sequencing with Python (part four) jupyter-notebook |
Foundations of Data Science |
|
1h |
purlGTN:T00099 |
Hands-on |
Python - Basic Types & Type Conversion jupyter-notebook |
Foundations of Data Science |
Introductory |
30M |
purlGTN:T00083 |
Hands-on |
Introduction to Python jupyter-notebook |
Foundations of Data Science |
Introductory |
5H |
purlGTN:T00404 |
Hands-on |
Introduction to sequencing with Python (part three) jupyter-notebook |
Foundations of Data Science |
|
1h |
purlGTN:T00089 |
Hands-on |
Python - Functions jupyter-notebook |
Foundations of Data Science |
Introductory |
30M |
purlGTN:T00104 |
Hands-on |
dplyr & tidyverse for data processing Rrmarkdown-notebookjupyter-notebook |
Foundations of Data Science |
Advanced |
1H |
purlGTN:T00096 |
Hands-on |
Plotting in Python jupyter-notebook |
Foundations of Data Science |
Intermediate |
1H |
purlGTN:T00091 |
Hands-on |
Python - Lists & Strings & Dictionaries jupyter-notebook |
Foundations of Data Science |
Introductory |
1H |
purlGTN:T00425 |
Hands-on |
Versioning your code and data with git
|
Foundations of Data Science |
|
1h |
purlGTN:T00107 |
Hands-on |
Introduction to SQL SQLjupyter-notebook |
Foundations of Data Science |
Introductory |
3H |
purlGTN:T00106 |
Hands-on |
Advanced SQL SQLjupyter-notebook |
Foundations of Data Science |
Introductory |
3H |
purlGTN:T00090 |
Hands-on |
Python - Globbing jupyter-notebook |
Foundations of Data Science |
Intermediate |
15M |
purlGTN:T00086 |
Hands-on |
Python - Try & Except jupyter-notebook |
Foundations of Data Science |
Introductory |
20M |
purlGTN:T00353 |
Hands-on |
Data visualisation Olympics - Visualization in R cyoaRrmarkdown-notebookjupyter-notebook |
Foundations of Data Science |
Introductory |
1h |
purlGTN:T00352 |
Hands-on |
Data Manipulation Olympics - JQ cyoajson |
Foundations of Data Science |
Introductory |
1h |
purlGTN:T00081 |
Hands-on |
Advanced Python jupyter-notebook |
Foundations of Data Science |
Intermediate |
3H |
purlGTN:T00072 |
Hands-on |
Version Control with Git
|
Foundations of Data Science |
|
65M |
purlGTN:T00105 |
Hands-on |
Make & Snakemake
|
Foundations of Data Science |
Intermediate |
3H |
purlGTN:T00360 |
Hands-on |
One protein along the UniProt page
|
Foundations of Data Science |
Introductory |
1H |
purlGTN:T00103 |
Hands-on |
R basics in Galaxy interactive-toolsR |
Foundations of Data Science |
Introductory |
3H |
purlGTN:T00085 |
Hands-on |
Conda Environments For Software Development condajupyter-notebook |
Foundations of Data Science |
Intermediate |
30M |
purlGTN:T00109 |
Hands-on |
SQL with Python SQLPythonjupyter-notebook |
Foundations of Data Science |
Intermediate |
45M |
purlGTN:T00073 |
Hands-on |
Variant Calling Workflow
|
Foundations of Data Science |
|
50M |
purlGTN:T00092 |
Hands-on |
Python - Coding Style jupyter-notebook |
Foundations of Data Science |
Intermediate |
30M |
purlGTN:T00397 |
Hands-on |
Introduction to sequencing with Python (part one) jupyter-notebook |
Foundations of Data Science |
|
1h |
purlGTN:T00108 |
Hands-on |
SQL Educational Game - Murder Mystery gameSQLjupyter-notebook |
Foundations of Data Science |
Intermediate |
2H |
purlGTN:T00078 |
Hands-on |
Data Manipulation Olympics - SQL cyoasqljupyter-notebook |
Foundations of Data Science |
Introductory |
1h |
purlGTN:T00102 |
Hands-on |
Advanced R in Galaxy R |
Foundations of Data Science |
Intermediate |
2H |
purlGTN:T00402 |
Hands-on |
Finding the muon stopping site with pymuon-suite in Galaxy
|
Materials Science |
Introductory |
1H |
purlGTN:T00145 |
Hands-on |
Identifying tuberculosis transmission links: from SNPs to transmission clusters prokaryoteone-healthmicrogalaxy |
Evolution |
Intermediate |
2H |
purlGTN:T00440 |
Hands-on |
Phylogenetics - Back to basics phylogeneticsevolution |
Evolution |
Intermediate |
4H |
purlGTN:T00144 |
Hands-on |
Tree thinking for tuberculosis evolution and epidemiology prokaryoteone-healthphylogeneticsmicrogalaxy |
Evolution |
Introductory |
1H |
purlGTN:T00172 |
Hands-on |
Genome annotation with Funannotate gmodeukaryotejbrowse1 |
Genome Annotation |
Intermediate |
8h |
purlGTN:T00167 |
Hands-on |
Genome annotation with Maker (short) gmodeukaryotemakerjbrowse1 |
Genome Annotation |
Intermediate |
2h |
purlGTN:T00175 |
Hands-on |
Genome Annotation prokaryotework-in-progress |
Genome Annotation |
Introductory |
2H |
purlGTN:T00401 |
Hands-on |
Identification of AMR genes in an assembled bacterial genome gmodilluminaamrone-healthjbrowse1microgalaxy |
Genome Annotation |
Introductory |
2h |
purlGTN:T00166 |
Hands-on |
Genome annotation with Maker gmodeukaryotejbrowse1maker |
Genome Annotation |
Advanced |
4h |
purlGTN:T00170 |
Hands-on |
Refining Genome Annotations with Apollo (eukaryotes) gmodeukaryotecyoajbrowse1apollo2 |
Genome Annotation |
Intermediate |
3h |
purlGTN:T00420 |
Hands-on |
Secondary metabolite discovery
|
Genome Annotation |
|
3H |
purlGTN:T00178 |
Hands-on |
Masking repeats with RepeatMasker eukaryote |
Genome Annotation |
Introductory |
1H |
purlGTN:T00370 |
Hands-on |
Creating an Official Gene Set gmodapollo2work-in-progress |
Genome Annotation |
|
30M |
purlGTN:T00403 |
Hands-on |
Bacterial Genome Annotation gmodilluminabacteriamicrogalaxyjbrowse1 |
Genome Annotation |
Introductory |
3H |
purlGTN:T00173 |
Hands-on |
Functional annotation of protein sequences eukaryote |
Genome Annotation |
Introductory |
1h |
purlGTN:T00174 |
Hands-on |
Comparative gene analysis in unannotated genomes evolutionannotationvgpcookbookeukaryoteprokaryotemicrogalaxy |
Genome Annotation |
|
30M |
purlGTN:T00171 |
Hands-on |
CRISPR screen analysis genome editingCRISPRessential genescell line |
Genome Annotation |
|
2H |
purlGTN:T00176 |
Hands-on |
From small to large-scale genome comparison plantsprokaryote |
Genome Annotation |
|
2H |
purlGTN:T00451 |
Hands-on |
Genome annotation with Helixer eukaryotahelixerjbrowse1 |
Genome Annotation |
Intermediate |
4h |
purlGTN:T00169 |
Hands-on |
Refining Genome Annotations with Apollo (prokaryotes) gmodprokaryotemicrogalaxyjbrowse1apollo2 |
Genome Annotation |
Intermediate |
3h |
purlGTN:T00177 |
Hands-on |
Long non-coding RNAs (lncRNAs) annotation with FEELnc eukaryote |
Genome Annotation |
Intermediate |
2h |
purlGTN:T00168 |
Hands-on |
Genome annotation with Prokka gmodprokaryotemicrogalaxyjbrowse1 |
Genome Annotation |
Introductory |
1h |
purlGTN:T00179 |
Hands-on |
Essential genes detection with Transposon insertion sequencing bacteriatnseqessential genesmicrogalaxy |
Genome Annotation |
|
7H |
purlGTN:T00454 |
Hands-on |
Introduction to Data Management Plan (DMP) for Peatland Research and PeatDataHub fairopendata management plan |
FAIR Data, Workflows, and Research |
Introductory |
30M |
purlGTN:T00349 |
Hands-on |
FAIR data management solutions fairdmpdata stewardship |
FAIR Data, Workflows, and Research |
|
10M |
purlGTN:T00341 |
Hands-on |
RO-Crate in Python ro-cratejupyter-notebook |
FAIR Data, Workflows, and Research |
|
30M |
purlGTN:T00434 |
Hands-on |
Persistent Identifiers fairdmpdata stewardship |
FAIR Data, Workflows, and Research |
|
30M |
purlGTN:T00340 |
Hands-on |
Exporting Workflow Run RO-Crates from Galaxy ro-crateworkflows |
FAIR Data, Workflows, and Research |
|
30m |
purlGTN:T00342 |
Hands-on |
Submitting workflows to LifeMonitor ro-crate |
FAIR Data, Workflows, and Research |
|
30M |
purlGTN:T00435 |
Hands-on |
FAIRification of an RNAseq dataset fairdmpdata stewardship |
FAIR Data, Workflows, and Research |
|
1H |
purlGTN:T00430 |
Hands-on |
Access fairdmpdata stewardship |
FAIR Data, Workflows, and Research |
|
50M |
purlGTN:T00343 |
Hands-on |
Workflow Run RO-Crate Introduction ro-crate |
FAIR Data, Workflows, and Research |
|
30M |
purlGTN:T00431 |
Hands-on |
Data Registration fairdmpdata stewardship |
FAIR Data, Workflows, and Research |
|
40M |
purlGTN:T00351 |
Hands-on |
FAIR in a nutshell fairopendata stewardship |
FAIR Data, Workflows, and Research |
|
10M |
purlGTN:T00368 |
Hands-on |
Making clinical datasets FAIR fairopendata stewardship |
FAIR Data, Workflows, and Research |
|
1H |
purlGTN:T00369 |
Hands-on |
Sequence data submission to ENA FAIRENA |
FAIR Data, Workflows, and Research |
|
1H |
purlGTN:T00348 |
Hands-on |
RO-Crate - Introduction
|
FAIR Data, Workflows, and Research |
Introductory |
30M |
purlGTN:T00350 |
Hands-on |
FAIR Galaxy Training Material fairgtntraining |
FAIR Data, Workflows, and Research |
|
30M |
purlGTN:T00361 |
Hands-on |
REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data fairdata managementbioimaging |
FAIR Data, Workflows, and Research |
|
15m |
purlGTN:T00362 |
Hands-on |
FAIR Bioimage Metadata fairdata managementbioimaging |
FAIR Data, Workflows, and Research |
|
15m |
purlGTN:T00339 |
Hands-on |
Best practices for workflows in GitHub repositories ro-cratejupyter-notebook |
FAIR Data, Workflows, and Research |
|
30M |
purlGTN:T00433 |
Hands-on |
FAIR and its Origins fairdmpdata stewardship |
FAIR Data, Workflows, and Research |
|
40M |
purlGTN:T00432 |
Hands-on |
Metadata fairdmpdata stewardship |
FAIR Data, Workflows, and Research |
|
40M |
purlGTN:T00188 |
Hands-on |
NGS data logistics
|
Introduction to Galaxy Analyses |
|
1H30M |
purlGTN:T00187 |
Hands-on |
Galaxy Basics for everyone
|
Introduction to Galaxy Analyses |
Introductory |
1H30M |
purlGTN:T00191 |
Hands-on |
Introduction to Genomics and Galaxy
|
Introduction to Galaxy Analyses |
Introductory |
2H30M |
purlGTN:T00192 |
Hands-on |
How to reproduce published Galaxy analyses
|
Introduction to Galaxy Analyses |
Introductory |
1H |
purlGTN:T00185 |
Hands-on |
Upload data to Galaxy
|
Introduction to Galaxy Analyses |
Introductory |
40m |
purlGTN:T00184 |
Hands-on |
Data Manipulation Olympics cyoa |
Introduction to Galaxy Analyses |
Introductory |
1h |
purlGTN:T00190 |
Hands-on |
A short introduction to Galaxy español |
Introduction to Galaxy Analyses |
Introductory |
40m |
purlGTN:T00186 |
Hands-on |
Galaxy Basics for genomics
|
Introduction to Galaxy Analyses |
Introductory |
1H |
purlGTN:T00189 |
Hands-on |
From peaks to genes
|
Introduction to Galaxy Analyses |
Introductory |
3H |
purlGTN:T00193 |
Hands-on |
IGV Introduction
|
Introduction to Galaxy Analyses |
|
2H |
purlGTN:T00436 |
Hands-on |
Very Short Introductions: QC
|
Introduction to Galaxy Analyses |
|
30M |
purlGTN:T00428 |
Hands-on |
Analyse Argo data earth-systemoceanpangeoargo |
Climate |
|
1H |
purlGTN:T00375 |
Hands-on |
Ocean Data View (ODV) earth-systemoceangeographical information systemODVnetcdf datamapsmarine data |
Climate |
|
1H |
purlGTN:T00042 |
Hands-on |
Functionally Assembled Terrestrial Ecosystem Simulator (FATES) interactive-tools |
Climate |
|
4H |
purlGTN:T00041 |
Hands-on |
Getting your hands-on climate data
|
Climate |
|
1H |
purlGTN:T00046 |
Hands-on |
Visualize Climate data with Panoply netCDF viewer interactive-tools |
Climate |
|
1H |
purlGTN:T00043 |
Hands-on |
Functionally Assembled Terrestrial Ecosystem Simulator (FATES) with Galaxy Climate JupyterLab interactive-tools |
Climate |
|
6H |
purlGTN:T00376 |
Hands-on |
Ocean's variables study earth-systemoceannetcdf data |
Climate |
|
1H |
purlGTN:T00044 |
Hands-on |
Pangeo ecosystem 101 for everyone - Introduction to Xarray Galaxy Tools pangeo |
Climate |
|
1H |
purlGTN:T00457 |
Hands-on |
Getting your hands-on earth data earth-systemoceanlandatmospherebiodiversity |
Climate |
|
1H |
purlGTN:T00396 |
Hands-on |
Sentinel 5P data visualisation earth-systemvolcanosatellite data |
Climate |
|
1H |
purlGTN:T00045 |
Hands-on |
Pangeo Notebook in Galaxy - Introduction to Xarray pangeointeractive-toolsjupyter-notebook |
Climate |
|
1H |
purlGTN:T00332 |
Hands-on |
Obis marine indicators earth-systemoceanmarine omicsbiodiversity |
Ecology |
|
1H |
purlGTN:T00400 |
Hands-on |
From NDVI data with OpenEO to time series visualisation with Holoviews earth-systemland degradationNDVIcopernicusholoviews |
Ecology |
|
1H |
purlGTN:T00127 |
Hands-on |
Champs blocs indicators Ecosystem EBV classEBV datasetEBV workflowMarine ecosystems |
Ecology |
|
1H |
purlGTN:T00128 |
Hands-on |
RAD-Seq de-novo data analysis RAD-seqGenetic composition EBV classSpecies populations EBV classEBV datasetEBV workflow |
Ecology |
|
8h |
purlGTN:T00131 |
Hands-on |
Visualize EBV cube data with Panoply netCDF viewer interactive-toolsEBV cubeData visualization |
Ecology |
|
1H |
purlGTN:T00333 |
Hands-on |
Sentinel 2 biodiversity Remote sensing |
Ecology |
|
48H |
purlGTN:T00455 |
Hands-on |
Ecoregionalization workflow tutorial ecologytaxonomic dataEBV workflowmodelinggbifoceanearth-systeminteractive-tools |
Ecology |
|
2H |
purlGTN:T00133 |
Hands-on |
RAD-Seq Reference-based data analysis RAD-seqGenetic composition EBV classSpecies population EBV classEBV datasetEBV workflow |
Ecology |
|
8h |
purlGTN:T00134 |
Hands-on |
Regional GAM Species populations EBV classSpecies traits EBV classEBV datasetEBV workflow |
Ecology |
|
2h30m |
purlGTN:T00136 |
Hands-on |
Visualization of Climate Data using NetCDF xarray Map Plotting pangeo |
Ecology |
Introductory |
1H |
purlGTN:T00399 |
Hands-on |
Creating FAIR Quality assessment reports and draft of Data Papers from EML metadata with MetaShRIMPS MetadataEMLFAIRData Paper |
Ecology |
|
30M |
purlGTN:T00422 |
Hands-on |
Creating metadata using Ecological Metadata Language (EML) standard with EML Assembly Line functionalities MetadataEMLEcologyBiodiversityFAIRData Paper |
Ecology |
|
30M |
purlGTN:T00129 |
Hands-on |
Cleaning GBIF data for the use in Ecology gbifdata managementdata cleaning |
Ecology |
|
0H30M |
purlGTN:T00125 |
Hands-on |
Compute and analyze biodiversity metrics with PAMPA toolsuite Species population EBV classCommunity composition EBV classEBV datasetEBV workflowmodeling |
Ecology |
|
2H |
purlGTN:T00423 |
Hands-on |
Checking expected species and contamination in bacterial isolate illuminabacteriamicrogalaxy |
Ecology |
Introductory |
1H |
purlGTN:T00450 |
Hands-on |
Marine Omics identifying biosynthetic gene clusters earth-systemoceanmarine omics |
Ecology |
|
3H |
purlGTN:T00130 |
Hands-on |
RAD-Seq to construct genetic maps RAD-seqGenetic composition EBV classEBV datasetEBV workflow |
Ecology |
|
8h |
purlGTN:T00135 |
Hands-on |
Species distribution modeling interactive-toolsmodelinggbifspecies populations EBV class |
Ecology |
|
1h |
purlGTN:T00132 |
Hands-on |
Preparing genomic data for phylogeny reconstruction phylogenydata handlingfunctional annotation |
Ecology |
|
3H |
purlGTN:T00124 |
Hands-on |
Metabarcoding/eDNA through Obitools Genetic composition EBV classCommunity composition EBV classEBV datasetEBV workfloweDNAMetabarcoding |
Ecology |
|
1H |
purlGTN:T00126 |
Hands-on |
Biodiversity data exploration taxonomic datadata quality |
Ecology |
|
1H |
purlGTN:T00367 |
Hands-on |
QGIS Web Feature Services earth-systemGISGeographical Information SystemWFSSpatial dataMapsOGC |
Ecology |
|
0H30M |
purlGTN:T00235 |
Hands-on |
Secretome Prediction humanwork-in-progress |
Proteomics |
Intermediate |
30m |
purlGTN:T00220 |
Hands-on |
MaxQuant and MSstats for the analysis of TMT data DDATMT |
Proteomics |
|
3H |
purlGTN:T00416 |
Hands-on |
Clinical Metaproteomics 4: Quantitation label-TMT11 |
Proteomics |
|
3H |
purlGTN:T00226 |
Hands-on |
Detection and quantitation of N-termini (degradomics) via N-TAILS
|
Proteomics |
Intermediate |
1h |
purlGTN:T00227 |
Hands-on |
Peptide Library Data Analysis
|
Proteomics |
Intermediate |
20m |
purlGTN:T00215 |
Hands-on |
EncyclopeDIA DIA |
Proteomics |
|
6H |
purlGTN:T00216 |
Hands-on |
Label-free versus Labelled - How to Choose Your Quantitation Method DDA |
Proteomics |
Introductory |
15m |
purlGTN:T00228 |
Hands-on |
Peptide and Protein ID using OpenMS tools DDAHeLa |
Proteomics |
Advanced |
45m |
purlGTN:T00225 |
Hands-on |
Machine Learning Modeling of Anticancer Peptides MLcancer |
Proteomics |
Intermediate |
30m |
purlGTN:T00229 |
Hands-on |
Peptide and Protein ID using SearchGUI and PeptideShaker DDAHeLa |
Proteomics |
Introductory |
45m |
purlGTN:T00217 |
Hands-on |
Mass spectrometry imaging: Loading and exploring MSI data mouseimaging |
Proteomics |
Introductory |
45m |
purlGTN:T00230 |
Hands-on |
Peptide and Protein Quantification via Stable Isotope Labelling (SIL) DDASILAC |
Proteomics |
Advanced |
1h |
purlGTN:T00234 |
Hands-on |
Annotating a protein list identified by LC-MS/MS experiments DDAhuman |
Proteomics |
|
1H |
purlGTN:T00218 |
Hands-on |
Label-free data analysis using MaxQuant DDAlabel-free |
Proteomics |
Introductory |
1H |
purlGTN:T00417 |
Hands-on |
Clinical Metaproteomics 5: Data Interpretation label-TMT11 |
Proteomics |
|
3H |
purlGTN:T00219 |
Hands-on |
MaxQuant and MSstats for the analysis of label-free data label-free |
Proteomics |
Intermediate |
2H |
purlGTN:T00212 |
Hands-on |
Library Generation for DIA Analysis DIA |
Proteomics |
Intermediate |
1H |
purlGTN:T00415 |
Hands-on |
Clinical Metaproteomics 3: Verification label-TMT11 |
Proteomics |
|
3H |
purlGTN:T00213 |
Hands-on |
Biomarker candidate identification DDAhuman |
Proteomics |
|
3H |
purlGTN:T00231 |
Hands-on |
Proteogenomics 1: Database Creation proteogenomics |
Proteomics |
Intermediate |
30m |
purlGTN:T00224 |
Hands-on |
metaQuantome 3: Taxonomy microgalaxy |
Proteomics |
Intermediate |
1h |
purlGTN:T00221 |
Hands-on |
Metaproteomics tutorial microgalaxy |
Proteomics |
|
2h |
purlGTN:T00414 |
Hands-on |
Clinical Metaproteomics 2: Discovery label-TMT11 |
Proteomics |
|
3H |
purlGTN:T00232 |
Hands-on |
Proteogenomics 2: Database Search proteogenomics |
Proteomics |
Intermediate |
15m |
purlGTN:T00413 |
Hands-on |
Clinical Metaproteiomics 1: Database-Generation label-TMT11 |
Proteomics |
|
3H |
purlGTN:T00210 |
Hands-on |
Statistical analysis of DIA data DIA |
Proteomics |
Intermediate |
1H |
purlGTN:T00214 |
Hands-on |
Protein FASTA Database Handling DDA |
Proteomics |
Introductory |
30m |
purlGTN:T00222 |
Hands-on |
metaQuantome 1: Data creation microgalaxy |
Proteomics |
Intermediate |
1h |
purlGTN:T00223 |
Hands-on |
metaQuantome 2: Function microgalaxy |
Proteomics |
Intermediate |
1h |
purlGTN:T00211 |
Hands-on |
DIA Analysis using OpenSwathWorkflow DIA |
Proteomics |
Intermediate |
2H |
purlGTN:T00233 |
Hands-on |
Proteogenomics 3: Novel peptide analysis proteogenomics |
Proteomics |
Intermediate |
30m |
purlGTN:T00057 |
Hands-on |
Creating a new tutorial
|
Contributing to the Galaxy Training Material |
|
15m |
purlGTN:T00065 |
Hands-on |
Contributing with GitHub via its interface
|
Contributing to the Galaxy Training Material |
|
20m |
purlGTN:T00067 |
Hands-on |
Principles of learning and how they apply to training and teaching
|
Contributing to the Galaxy Training Material |
|
2h |
purlGTN:T00069 |
Hands-on |
Running the GTN website locally
|
Contributing to the Galaxy Training Material |
|
15m |
purlGTN:T00068 |
Hands-on |
Teaching Python
|
Contributing to the Galaxy Training Material |
|
2h |
purlGTN:T00071 |
Hands-on |
Adding auto-generated video to your slides
|
Contributing to the Galaxy Training Material |
|
20m |
purlGTN:T00066 |
Hands-on |
Running the GTN website online using GitPod
|
Contributing to the Galaxy Training Material |
|
15m |
purlGTN:T00064 |
Hands-on |
Contributing with GitHub via command-line
|
Contributing to the Galaxy Training Material |
|
30m |
purlGTN:T00055 |
Hands-on |
Updating diffs in admin training
|
Contributing to the Galaxy Training Material |
|
5m |
purlGTN:T00056 |
Hands-on |
Including a new topic
|
Contributing to the Galaxy Training Material |
|
30m |
purlGTN:T00059 |
Hands-on |
Adding Quizzes to your Tutorial
|
Contributing to the Galaxy Training Material |
|
15m |
purlGTN:T00061 |
Hands-on |
Creating Interactive Galaxy Tours
|
Contributing to the Galaxy Training Material |
|
15m |
purlGTN:T00060 |
Hands-on |
Tools, Data, and Workflows for tutorials
|
Contributing to the Galaxy Training Material |
|
30m |
purlGTN:T00070 |
Hands-on |
GTN Metadata
|
Contributing to the Galaxy Training Material |
|
10m |
purlGTN:T00062 |
Hands-on |
Design and plan session, course, materials
|
Contributing to the Galaxy Training Material |
|
60m |
purlGTN:T00058 |
Hands-on |
Creating content in Markdown
|
Contributing to the Galaxy Training Material |
|
15m |
purlGTN:T00063 |
Hands-on |
Generating PDF artefacts of the website
|
Contributing to the Galaxy Training Material |
|
10m |
purlGTN:T00031 |
Hands-on |
De Bruijn Graph Assembly
|
Assembly |
Introductory |
2h |
purlGTN:T00038 |
Hands-on |
Unicycler Assembly prokaryotemicrogalaxy |
Assembly |
Introductory |
4h |
purlGTN:T00033 |
Hands-on |
Genome assembly using PacBio data assemblypacbio |
Assembly |
Intermediate |
6h |
purlGTN:T00331 |
Hands-on |
Large genome assembly and polishing assemblypolishingnanoporeplants |
Assembly |
|
2h |
purlGTN:T00453 |
Hands-on |
Assembly of the mitochondrial genome from PacBio HiFi reads
|
Assembly |
|
1H |
purlGTN:T00037 |
Hands-on |
Genome Assembly of MRSA from Oxford Nanopore MinION data (and optionally Illumina data) nanoporeassemblyamrgmodjbrowse1microgalaxy |
Assembly |
Introductory |
2h |
purlGTN:T00040 |
Hands-on |
Using the VGP workflows to assemble a vertebrate genome with HiFi and Hi-C data pacbioeukaryoteVGP |
Assembly |
Intermediate |
2h |
purlGTN:T00039 |
Hands-on |
Vertebrate genome assembly using HiFi, Bionano and Hi-C data - Step by Step pacbioeukaryoteVGP |
Assembly |
Intermediate |
5h |
purlGTN:T00029 |
Hands-on |
Unicycler assembly of SARS-CoV-2 genome with preprocessing to remove human genome reads covid19 |
Assembly |
Intermediate |
4h |
purlGTN:T00034 |
Hands-on |
An Introduction to Genome Assembly
|
Assembly |
Introductory |
30m |
purlGTN:T00028 |
Hands-on |
Genome Assembly Quality Control assemblyquality control |
Assembly |
Intermediate |
2h |
purlGTN:T00452 |
Hands-on |
Decontamination of a genome assembly
|
Assembly |
|
1H30M |
purlGTN:T00355 |
Hands-on |
ERGA post-assembly QC plantsanimalsgenomeassemblyQC |
Assembly |
|
3H |
purlGTN:T00032 |
Hands-on |
Making sense of a newly assembled genome gmodprokaryotemicrogalaxyjbrowse1 |
Assembly |
|
4h |
purlGTN:T00030 |
Hands-on |
Chloroplast genome assembly plantsnanoporejbrowse1 |
Assembly |
|
2h |
purlGTN:T00036 |
Hands-on |
Genome Assembly of a bacterial genome (MRSA) sequenced using Illumina MiSeq Data illuminaassemblymicrogalaxy |
Assembly |
|
2h |
purlGTN:T00053 |
Hands-on |
Setting up molecular systems
|
Computational chemistry |
Intermediate |
2H |
purlGTN:T00050 |
Hands-on |
High Throughput Molecular Dynamics and Analysis
|
Computational chemistry |
Advanced |
3H |
purlGTN:T00049 |
Hands-on |
Virtual screening of the SARS-CoV-2 main protease with rxDock and pose scoring covid19one-health |
Computational chemistry |
Intermediate |
2H |
purlGTN:T00048 |
Hands-on |
Protein-ligand docking
|
Computational chemistry |
Intermediate |
3H |
purlGTN:T00047 |
Hands-on |
Analysis of molecular dynamics simulations
|
Computational chemistry |
Intermediate |
1H |
purlGTN:T00052 |
Hands-on |
Running molecular dynamics simulations using NAMD
|
Computational chemistry |
Intermediate |
3H |
purlGTN:T00381 |
Hands-on |
Data management in Medicinal Chemistry fairdata-managementmedicinal-chemistrycomputational-chemistry |
Computational chemistry |
Introductory |
1H |
purlGTN:T00051 |
Hands-on |
Running molecular dynamics simulations using GROMACS
|
Computational chemistry |
Intermediate |
2H |
purlGTN:T00054 |
Hands-on |
Protein target prediction of a bioactive ligand with Align-it and ePharmaLib
|
Computational chemistry |
Intermediate |
2H |
purlGTN:T00318 |
Hands-on |
Identification of somatic and germline variants from tumor and normal sample pairs
|
Variant Analysis |
|
7h |
purlGTN:T00308 |
Hands-on |
Avian influenza viral strain analysis from gene segment sequencing data virologyone-health |
Variant Analysis |
Intermediate |
4H |
purlGTN:T00448 |
Hands-on |
Querying the University of Bradford GDC Beacon Database for Copy Number Variants (CNVs)
|
Variant Analysis |
Introductory |
30M |
purlGTN:T00317 |
Hands-on |
Somatic Variant Discovery from WES Data Using Control-FREEC
|
Variant Analysis |
|
3H |
purlGTN:T00310 |
Hands-on |
Calling very rare variants
|
Variant Analysis |
|
3h |
purlGTN:T00319 |
Hands-on |
M. tuberculosis Variant Analysis prokaryoteone-healthmicrogalaxytuberculosis |
Variant Analysis |
Intermediate |
2h |
purlGTN:T00314 |
Hands-on |
Calling variants in non-diploid systems prokaryotemicrogalaxy |
Variant Analysis |
|
1h30m |
purlGTN:T00311 |
Hands-on |
Exome sequencing data analysis for diagnosing a genetic disease
|
Variant Analysis |
|
5h |
purlGTN:T00320 |
Hands-on |
Trio Analysis using Synthetic Datasets from RD-Connect GPAP cyoa |
Variant Analysis |
Advanced |
2H |
purlGTN:T00316 |
Hands-on |
Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data covid19virologyone-health |
Variant Analysis |
Intermediate |
3H |
purlGTN:T00449 |
Hands-on |
Working with Beacon V2: A Comprehensive Guide to Creating, Uploading, and Searching for Variants with Beacons
|
Variant Analysis |
Advanced |
2H |
purlGTN:T00309 |
Hands-on |
Calling variants in diploid systems
|
Variant Analysis |
|
3h |
purlGTN:T00315 |
Hands-on |
From NCBI's Sequence Read Archive (SRA) to Galaxy: SARS-CoV-2 variant analysis covid19virologyone-health |
Variant Analysis |
|
1H |
purlGTN:T00312 |
Hands-on |
Mapping and molecular identification of phenotype-causing mutations
|
Variant Analysis |
|
2h |
purlGTN:T00313 |
Hands-on |
Microbial Variant Calling prokaryotemicrogalaxygmodjbrowse1 |
Variant Analysis |
|
45m |
purlGTN:T00347 |
Hands-on |
Pox virus genome analysis from tiled-amplicon sequencing data virologyone-health |
Variant Analysis |
Advanced |
4H |
purlGTN:T00156 |
Hands-on |
Multisample Analysis collections |
Using Galaxy and Managing your Data |
Advanced |
1h |
purlGTN:T00150 |
Hands-on |
Understanding Galaxy history system
|
Using Galaxy and Managing your Data |
Introductory |
30m |
purlGTN:T00152 |
Hands-on |
InterMine integration with Galaxy gmodintermine |
Using Galaxy and Managing your Data |
|
1h |
purlGTN:T00148 |
Hands-on |
Use Jupyter notebooks in Galaxy
|
Using Galaxy and Managing your Data |
|
30m |
purlGTN:T00161 |
Hands-on |
Rule Based Uploader: Advanced collectionstags |
Using Galaxy and Managing your Data |
Advanced |
20m |
purlGTN:T00405 |
Hands-on |
Creating high resolution images of Galaxy Workflows workflows |
Using Galaxy and Managing your Data |
Introductory |
30M |
purlGTN:T00162 |
Hands-on |
Automating Galaxy workflows using the command line workflowsvariant-analysiscovid19 |
Using Galaxy and Managing your Data |
|
2h |
purlGTN:T00165 |
Hands-on |
Workflow Reports workflows |
Using Galaxy and Managing your Data |
Intermediate |
30m |
purlGTN:T00164 |
Hands-on |
Using Workflow Parameters workflows |
Using Galaxy and Managing your Data |
Intermediate |
30m |
purlGTN:T00153 |
Hands-on |
JupyterLab in Galaxy interactive-tools |
Using Galaxy and Managing your Data |
|
1H |
purlGTN:T00154 |
Hands-on |
Name tags for following complex histories
|
Using Galaxy and Managing your Data |
|
20m |
purlGTN:T00157 |
Hands-on |
RStudio in Galaxy interactive-tools |
Using Galaxy and Managing your Data |
|
3H |
purlGTN:T00158 |
Hands-on |
Searching Your History
|
Using Galaxy and Managing your Data |
Introductory |
5m |
purlGTN:T00163 |
Hands-on |
Creating, Editing and Importing Galaxy Workflows workflows |
Using Galaxy and Managing your Data |
Intermediate |
30m |
purlGTN:T00146 |
Hands-on |
Using dataset collections collections |
Using Galaxy and Managing your Data |
Intermediate |
30m |
purlGTN:T00155 |
Hands-on |
SRA Aligned Read Format to Speed Up SARS-CoV-2 data Analysis ncbicovid19 |
Using Galaxy and Managing your Data |
|
30m |
purlGTN:T00147 |
Hands-on |
Downloading and Deleting Data in Galaxy
|
Using Galaxy and Managing your Data |
Introductory |
20M |
purlGTN:T00149 |
Hands-on |
Group tags for complex experimental designs
|
Using Galaxy and Managing your Data |
|
10m |
purlGTN:T00160 |
Hands-on |
Rule Based Uploader collectionstags |
Using Galaxy and Managing your Data |
Intermediate |
20m |
purlGTN:T00151 |
Hands-on |
Extracting Workflows from Histories workflows |
Using Galaxy and Managing your Data |
|
30m |
purlGTN:T00159 |
Hands-on |
Submitting sequence data to ENA covid19 |
Using Galaxy and Managing your Data |
Intermediate |
1h |
purlGTN:T00180 |
Hands-on |
Analyse HeLa fluorescence siRNA screen HeLa |
Imaging |
Intermediate |
1H |
purlGTN:T00181 |
Hands-on |
Introduction to image analysis using Galaxy HeLa |
Imaging |
Introductory |
1H |
purlGTN:T00183 |
Hands-on |
Nucleoli segmentation and feature extraction using CellProfiler
|
Imaging |
|
4H |
purlGTN:T00334 |
Hands-on |
End-to-End Tissue Microarray Image Analysis with Galaxy-ME
|
Imaging |
|
3H |
purlGTN:T00182 |
Hands-on |
Object tracking using CellProfiler
|
Imaging |
|
1H |
purlGTN:T00274 |
Hands-on |
Evaluating and ranking a set of pathways based on multiple metrics
|
Synthetic Biology |
|
20M |
purlGTN:T00273 |
Hands-on |
Designing plasmids encoding predicted pathways by using the BASIC assembly method
|
Synthetic Biology |
|
15M |
purlGTN:T00275 |
Hands-on |
Generating theoretical possible pathways for the production of Lycopene in E.Coli using Retrosynthesis tools
|
Synthetic Biology |
|
30M |
purlGTN:T00444 |
Hands-on |
What's a Special Interest Group?
|
Galaxy Community Building |
|
15m |
purlGTN:T00443 |
Hands-on |
Creating a Special Interest Group
|
Galaxy Community Building |
|
30m |
purlGTN:T00247 |
Hands-on |
Filter, plot and explore single-cell RNA-seq data with Scanpy 10xpaper-replication |
Single Cell |
|
3H |
purlGTN:T00248 |
Hands-on |
Removing the effects of the cell cycle 10x |
Single Cell |
|
1H |
purlGTN:T00251 |
Hands-on |
Pre-processing of Single-Cell RNA Data
|
Single Cell |
|
3h |
purlGTN:T00418 |
Hands-on |
Converting between common single cell data formats data managementdata import |
Single Cell |
|
1H |
purlGTN:T00255 |
Hands-on |
Single-cell quality control with scater
|
Single Cell |
|
1H |
purlGTN:T00246 |
Hands-on |
Combining single cell datasets after pre-processing 10xpaper-replication |
Single Cell |
|
1H |
purlGTN:T00250 |
Hands-on |
Analysis of plant scRNA-Seq Data with Scanpy plantspaper-replication |
Single Cell |
|
2H |
purlGTN:T00256 |
Hands-on |
Understanding Barcodes
|
Single Cell |
|
2h |
purlGTN:T00380 |
Hands-on |
Converting NCBI Data to the AnnData Format data managementdata import |
Single Cell |
|
1H |
purlGTN:T00245 |
Hands-on |
Generating a single cell matrix using Alevin 10xpaper-replication |
Single Cell |
|
2H |
purlGTN:T00244 |
Hands-on |
Inferring single cell trajectories with Scanpy (Python) 10xpaper-replicationPythonjupyter-notebook |
Single Cell |
|
2H |
purlGTN:T00456 |
Hands-on |
GO Enrichment Analysis on Single-Cell RNA-Seq Data single cellGO enrichment |
Single Cell |
|
3H |
purlGTN:T00379 |
Hands-on |
Inferring single cell trajectories with Scanpy 10xpaper-replication |
Single Cell |
|
3H |
purlGTN:T00252 |
Hands-on |
Pre-processing of 10X Single-Cell RNA Datasets 10x |
Single Cell |
|
1h |
purlGTN:T00357 |
Hands-on |
Scanpy Parameter Iterator
|
Single Cell |
|
2H |
purlGTN:T00240 |
Hands-on |
Bulk RNA Deconvolution with MuSiC transcriptomics |
Single Cell |
|
2h |
purlGTN:T00335 |
Hands-on |
Pre-processing of 10X Single-Cell ATAC-seq Datasets 10xepigenetics |
Single Cell |
|
1h |
purlGTN:T00378 |
Hands-on |
Generating a single cell matrix using Alevin and combining datasets (bash + R) 10xpaper-replicationjupyter-notebook |
Single Cell |
|
2H |
purlGTN:T00253 |
Hands-on |
Downstream Single-cell RNA analysis with RaceID
|
Single Cell |
|
3H |
purlGTN:T00374 |
Hands-on |
Importing files from public atlases data importdata management |
Single Cell |
|
15m |
purlGTN:T00366 |
Hands-on |
Filter, plot, and explore single cell RNA-seq data with Seurat (R) 10xpaper-replicationRrmarkdown-notebookjupyter-notebook |
Single Cell |
|
3H |
purlGTN:T00445 |
Hands-on |
Single-cell ATAC-seq standard processing with SnapATAC2 10xepigeneticssingle-cell |
Single Cell |
Intermediate |
4H |
purlGTN:T00249 |
Hands-on |
Inferring single cell trajectories with Monocle3 10xpaper-replication |
Single Cell |
|
2H |
purlGTN:T00438 |
Hands-on |
Filter, plot, and explore single cell RNA-seq data with Seurat 10xpaper-replication |
Single Cell |
|
3H |
purlGTN:T00241 |
Hands-on |
Matrix Exchange Format to ESet | Creating a single-cell RNA-seq reference dataset for deconvolution data management |
Single Cell |
|
1H |
purlGTN:T00242 |
Hands-on |
Bulk matrix to ESet | Creating the bulk RNA-seq dataset for deconvolution transcriptomicsdata management |
Single Cell |
|
1H |
purlGTN:T00336 |
Hands-on |
Inferring single cell trajectories with Monocle3 (R) 10xpaper-replicationRrmarkdown-notebookjupyter-notebook |
Single Cell |
|
3H |
purlGTN:T00254 |
Hands-on |
Clustering 3K PBMCs with Scanpy 10x |
Single Cell |
|
8H |
purlGTN:T00358 |
Hands-on |
Filter, plot and explore single-cell RNA-seq data with Scanpy (Python) 10xpaper-replicationPythonjupyter-notebook |
Single Cell |
|
3H |
purlGTN:T00243 |
Hands-on |
Comparing inferred cell compositions using MuSiC deconvolution transcriptomics |
Single Cell |
|
1H |
purlGTN:T00140 |
Hands-on |
Formation of the Super-Structures on the Inactive X ChIP-seq |
Epigenetics |
|
3h |
purlGTN:T00137 |
Hands-on |
ATAC-Seq data analysis
|
Epigenetics |
|
3h |
purlGTN:T00138 |
Hands-on |
Identification of the binding sites of the Estrogen receptor ChIP-seqwork-in-progress |
Epigenetics |
|
3h |
purlGTN:T00424 |
Hands-on |
CUT&RUN data analysis
|
Epigenetics |
|
3h |
purlGTN:T00141 |
Hands-on |
Hi-C analysis of Drosophila melanogaster cells using HiCExplorer
|
Epigenetics |
|
1h |
purlGTN:T00143 |
Hands-on |
Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1) ChIP-seq |
Epigenetics |
|
3h |
purlGTN:T00142 |
Hands-on |
DNA Methylation data analysis
|
Epigenetics |
|
3h |
purlGTN:T00139 |
Hands-on |
Infinium Human Methylation BeadChip
|
Epigenetics |
|
1h |
purlGTN:T00345 |
Hands-on |
Genome-wide alternative splicing analysis alternative splicingisoform switching |
Transcriptomics |
Advanced |
3H |
purlGTN:T00304 |
Hands-on |
Visualization of RNA-Seq results with Volcano Plot
|
Transcriptomics |
Introductory |
30m |
purlGTN:T00306 |
Hands-on |
Small Non-coding RNA Clustering using BlockClust
|
Transcriptomics |
|
1H |
purlGTN:T00298 |
Hands-on |
2: RNA-seq counts to genes limma-voommouseQC |
Transcriptomics |
|
2h |
purlGTN:T00293 |
Hands-on |
Network analysis with Heinz metatranscriptomicsnetwork analysis |
Transcriptomics |
|
1h30m |
purlGTN:T00303 |
Hands-on |
Visualization of RNA-Seq results with heatmap2
|
Transcriptomics |
|
1h |
purlGTN:T00292 |
Hands-on |
Whole transcriptome analysis of Arabidopsis thaliana miRNAplantsstress tolerance |
Transcriptomics |
|
2H |
purlGTN:T00291 |
Hands-on |
GO Enrichment Analysis
|
Transcriptomics |
|
1h |
purlGTN:T00295 |
Hands-on |
Reference-based RNA-Seq data analysis bulkrna-seqcollectionsdrosophilaQCcyoa |
Transcriptomics |
Introductory |
8h |
purlGTN:T00289 |
Hands-on |
De novo transcriptome reconstruction with RNA-Seq
|
Transcriptomics |
|
6h |
purlGTN:T00305 |
Hands-on |
Visualization of RNA-Seq results with Volcano Plot in R interactive-tools |
Transcriptomics |
Intermediate |
1H |
purlGTN:T00297 |
Hands-on |
RNA-Seq analysis with AskOmics Interactive Tool
|
Transcriptomics |
|
2H |
purlGTN:T00301 |
Hands-on |
1: RNA-Seq reads to counts collectionsmouseQC |
Transcriptomics |
|
3h |
purlGTN:T00302 |
Hands-on |
Visualization of RNA-Seq results with CummeRbund
|
Transcriptomics |
|
1h |
purlGTN:T00346 |
Hands-on |
RNA-seq Alignment with STAR
|
Transcriptomics |
|
90M |
purlGTN:T00290 |
Hands-on |
De novo transcriptome assembly, annotation, and differential expression analysis
|
Transcriptomics |
|
3H |
purlGTN:T00437 |
Hands-on |
Pathway analysis with the MINERVA Platform bulkrna-seqvizcyoa |
Transcriptomics |
Intermediate |
1h |
purlGTN:T00307 |
Hands-on |
Differential abundance testing of small RNAs
|
Transcriptomics |
|
3h |
purlGTN:T00294 |
Hands-on |
Reference-based RNAseq data analysis (long)
|
Transcriptomics |
|
1h |
purlGTN:T00288 |
Hands-on |
CLIP-Seq data analysis from pre-processing to motif detection
|
Transcriptomics |
|
6h |
purlGTN:T00300 |
Hands-on |
3: RNA-seq genes to pathways mouse |
Transcriptomics |
|
2h |
purlGTN:T00299 |
Hands-on |
RNA Seq Counts to Viz in R interactive-tools |
Transcriptomics |
|
1H |
purlGTN:T00296 |
Hands-on |
RNA-RNA interactome data analysis
|
Transcriptomics |
|
2H |
purlGTN:T00198 |
Hands-on |
Mass spectrometry imaging: Examining the spatial distribution of analytes
|
Metabolomics |
Introductory |
1H |
purlGTN:T00344 |
Hands-on |
Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)
|
Metabolomics |
Intermediate |
2H |
purlGTN:T00197 |
Hands-on |
Mass spectrometry: LC-MS preprocessing with XCMS
|
Metabolomics |
Intermediate |
3h |
purlGTN:T00196 |
Hands-on |
Mass spectrometry: LC-MS data processing
|
Metabolomics |
Introductory |
2H |
purlGTN:T00194 |
Hands-on |
Mass spectrometry : GC-MS analysis with metaMS package
|
Metabolomics |
Introductory |
2H |
purlGTN:T00458 |
Hands-on |
Predicting EI+ mass spectra with QCxMS
|
Metabolomics |
Introductory |
1H |
purlGTN:T00199 |
Hands-on |
Mass spectrometry imaging: Finding differential analytes
|
Metabolomics |
Intermediate |
2H |
purlGTN:T00195 |
Hands-on |
Mass spectrometry: LC-MS analysis
|
Metabolomics |
|
3h |
purlGTN:T00118 |
Hands-on |
ToolFactory: Generating Tools From Simple Scripts
|
Development in Galaxy |
|
1H |
purlGTN:T00116 |
Hands-on |
Galaxy Interactive Tools
|
Development in Galaxy |
|
3h |
purlGTN:T00426 |
Hands-on |
Creation of an interactive Galaxy tools table for your community CommunitySIG |
Development in Galaxy |
Introductory |
1H |
purlGTN:T00120 |
Hands-on |
JavaScript plugins
|
Development in Galaxy |
|
1h |
purlGTN:T00121 |
Hands-on |
Generic plugins
|
Development in Galaxy |
|
90m |
purlGTN:T00115 |
Hands-on |
Debugging Galaxy
|
Development in Galaxy |
|
4h |
purlGTN:T00117 |
Hands-on |
Creating Galaxy tools from Conda Through Deployment
|
Development in Galaxy |
|
3H |
purlGTN:T00112 |
Hands-on |
Contributing to BioBlend as a developer
|
Development in Galaxy |
|
3h |
purlGTN:T00113 |
Hands-on |
Contributing a New Feature to Galaxy Core
|
Development in Galaxy |
|
3H |
purlGTN:T00111 |
Hands-on |
Scripting Galaxy using the API and BioBlend jupyter-notebook |
Development in Galaxy |
Introductory |
2h |
purlGTN:T00119 |
Hands-on |
ToolFactory: Generating Tools From More Complex Scripts
|
Development in Galaxy |
|
1H |
purlGTN:T00421 |
Hands-on |
Adding and updating best practice metadata for Galaxy tools using the bio.tools registry
|
Development in Galaxy |
Introductory |
1H |
purlGTN:T00123 |
Hands-on |
Writing Automated Tests for Galaxy
|
Development in Galaxy |
|
3h |
purlGTN:T00122 |
Hands-on |
Galaxy Webhooks
|
Development in Galaxy |
|
1h |
purlGTN:T00114 |
Hands-on |
Data source integration
|
Development in Galaxy |
|
10M |
purlGTN:T00276 |
Hands-on |
Assessment and feedback in training and teachings
|
Teaching and Hosting Galaxy training |
|
3h30m |
purlGTN:T00277 |
Hands-on |
Teaching experiences
|
Teaching and Hosting Galaxy training |
|
1h |
purlGTN:T00281 |
Hands-on |
Live Coding is a Skill
|
Teaching and Hosting Galaxy training |
|
1h |
purlGTN:T00286 |
Hands-on |
Training Infrastructure as a Service cyoa |
Teaching and Hosting Galaxy training |
|
10m |
purlGTN:T00287 |
Hands-on |
Teaching online
|
Teaching and Hosting Galaxy training |
|
1h |
purlGTN:T00372 |
Hands-on |
Course Builder cyoa |
Teaching and Hosting Galaxy training |
|
10m |
purlGTN:T00354 |
Hands-on |
Train-the-Trainer: putting it all together
|
Teaching and Hosting Galaxy training |
|
60m |
purlGTN:T00278 |
Hands-on |
Galaxy Admin Training
|
Teaching and Hosting Galaxy training |
Advanced |
60m |
purlGTN:T00371 |
Hands-on |
Asynchronous training
|
Teaching and Hosting Galaxy training |
|
1h |
purlGTN:T00285 |
Hands-on |
Set up a Galaxy for Training
|
Teaching and Hosting Galaxy training |
|
2h |
purlGTN:T00284 |
Hands-on |
Running a workshop as instructor
|
Teaching and Hosting Galaxy training |
|
3H |
purlGTN:T00279 |
Hands-on |
Hybrid training
|
Teaching and Hosting Galaxy training |
|
1h |
purlGTN:T00282 |
Hands-on |
Motivation and Demotivation
|
Teaching and Hosting Galaxy training |
|
60m |
purlGTN:T00280 |
Hands-on |
Training techniques to enhance learner participation and engagement
|
Teaching and Hosting Galaxy training |
|
60m |
purlGTN:T00283 |
Hands-on |
Organizing a workshop
|
Teaching and Hosting Galaxy training |
|
3H |
purlGTN:T00373 |
Hands-on |
Ploting a Microbial Genome with Circos
|
Visualisation |
Intermediate |
30m |
purlGTN:T00321 |
Hands-on |
Visualisation with Circos
|
Visualisation |
Intermediate |
2h |
purlGTN:T00322 |
Hands-on |
Genomic Data Visualisation with JBrowse gmodjbrowse1 |
Visualisation |
Intermediate |
1h |
purlGTN:T00024 |
Hands-on |
Performant Uploads with TUS
|
Galaxy Server administration |
|
30M |
purlGTN:T00007 |
Hands-on |
External Authentication authentication |
Galaxy Server administration |
|
30m |
purlGTN:T00023 |
Hands-on |
Galaxy Tool Management with Ephemeris toolsgit-gat |
Galaxy Server administration |
|
45m |
purlGTN:T00017 |
Hands-on |
Running Jobs on Remote Resources with Pulsar ansiblejobsgit-gat |
Galaxy Server administration |
|
60m |
purlGTN:T00009 |
Hands-on |
Galaxy Monitoring with gxadmin monitoringansiblegit-gat |
Galaxy Server administration |
|
30m |
purlGTN:T00004 |
Hands-on |
Reference Data with CVMFS without Ansible
|
Galaxy Server administration |
|
1h |
purlGTN:T00014 |
Hands-on |
Managing Galaxy on Kubernetes kubernetes |
Galaxy Server administration |
Intermediate |
30m |
purlGTN:T00010 |
Hands-on |
Galaxy Interactive Tools ansibleinteractive-tools |
Galaxy Server administration |
|
2h |
purlGTN:T00328 |
Hands-on |
Customizing the look of Galaxy (Manual)
|
Galaxy Server administration |
|
45m |
purlGTN:T00008 |
Hands-on |
Enable upload via FTP datagit-gat |
Galaxy Server administration |
|
1h |
purlGTN:T00000 |
Hands-on |
Ansible ansible |
Galaxy Server administration |
|
60m |
purlGTN:T00001 |
Hands-on |
Galaxy Installation with Ansible ansibledeployinggit-gat |
Galaxy Server administration |
|
2h30m |
purlGTN:T00022 |
Hands-on |
Training Infrastructure as a Service (TIaaS) ansibletrainingjobsgit-gat |
Galaxy Server administration |
|
30m |
purlGTN:T00020 |
Hands-on |
How I learned to stop worrying and love the systemd ansiblesystemd |
Galaxy Server administration |
|
30m |
purlGTN:T00006 |
Hands-on |
Galaxy Database schema
|
Galaxy Server administration |
|
2h |
purlGTN:T00015 |
Hands-on |
Galaxy Monitoring with Telegraf and Grafana ansiblemonitoringgit-gat |
Galaxy Server administration |
|
2h |
purlGTN:T00323 |
Hands-on |
Use Apptainer containers for running Galaxy jobs jobsansiblegit-gat |
Galaxy Server administration |
|
1h |
purlGTN:T00325 |
Hands-on |
Deploying a Beacon v1 in Galaxy ga4ghbeacongit-gat |
Galaxy Server administration |
|
30m |
purlGTN:T00005 |
Hands-on |
Data Libraries ansiblestoragegit-gat |
Galaxy Server administration |
|
30m |
purlGTN:T00025 |
Hands-on |
Upgrading Galaxy ansible |
Galaxy Server administration |
|
1h |
purlGTN:T00012 |
Hands-on |
Mapping Jobs to Destinations using TPV jobsgit-gat |
Galaxy Server administration |
|
2h |
purlGTN:T00018 |
Hands-on |
Galaxy Monitoring with Reports ansiblemonitoringgit-gatbroken |
Galaxy Server administration |
|
30m |
purlGTN:T00327 |
Hands-on |
Customizing the look of Galaxy git-gat |
Galaxy Server administration |
|
45m |
purlGTN:T00011 |
Hands-on |
Automation with Jenkins ansibleautomation |
Galaxy Server administration |
|
1h |
purlGTN:T00021 |
Hands-on |
Deploying a compute cluster in OpenStack via Terraform terraformdeployingcloud |
Galaxy Server administration |
|
60m |
purlGTN:T00324 |
Hands-on |
Server Maintenance: Cleanup, Backup, and Restoration ansibledeployinggit-gat |
Galaxy Server administration |
|
30m |
purlGTN:T00002 |
Hands-on |
Connecting Galaxy to a compute cluster jobsansiblegit-gat |
Galaxy Server administration |
|
1h |
purlGTN:T00013 |
Hands-on |
Galaxy Installation on Kubernetes kubernetes |
Galaxy Server administration |
Intermediate |
30m |
purlGTN:T00326 |
Hands-on |
Setting up Celery Workers for Galaxy ansiblegit-gat |
Galaxy Server administration |
|
1h |
purlGTN:T00026 |
Hands-on |
Deploying Wireguard for private mesh networking wireguardnetworking |
Galaxy Server administration |
|
60m |
purlGTN:T00330 |
Hands-on |
Monitoring Galaxy and Pulsar with Sentry ansiblegit-gat |
Galaxy Server administration |
|
1h |
purlGTN:T00016 |
Hands-on |
Distributed Object Storage ansiblestorage |
Galaxy Server administration |
|
30m |
purlGTN:T00003 |
Hands-on |
Reference Data with CVMFS ansiblegit-gat |
Galaxy Server administration |
|
1h |
purlGTN:T00329 |
Hands-on |
Reference Data with Data Managers
|
Galaxy Server administration |
|
1h |
purlGTN:T00027 |
Hands-on |
Deploying Tailscale/Headscale for private mesh networking wireguardnetworking |
Galaxy Server administration |
|
60m |
purlGTN:T00270 |
Hands-on |
Basics of machine learning
|
Statistics and machine learning |
|
30M |
purlGTN:T00264 |
Hands-on |
Clustering in Machine Learning
|
Statistics and machine learning |
|
2H |
purlGTN:T00267 |
Hands-on |
Introduction to Machine Learning using R interactive-tools |
Statistics and machine learning |
Intermediate |
3H |
purlGTN:T00266 |
Hands-on |
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy interactive-toolsmachine-learningdeep-learningjupyter-labimage-segmentationprotein-3D-structure |
Statistics and machine learning |
|
1H |
purlGTN:T00271 |
Hands-on |
Regression in Machine Learning
|
Statistics and machine learning |
|
2H |
purlGTN:T00265 |
Hands-on |
Image classification in Galaxy with fruit 360 dataset
|
Statistics and machine learning |
|
2H |
purlGTN:T00442 |
Hands-on |
Fine tune large protein model (ProtTrans) using HuggingFace interactive-toolsmachine-learningdeep-learningjupyter-labfine-tuningdephosphorylation-site-prediction |
Statistics and machine learning |
|
1H |
purlGTN:T00257 |
Hands-on |
Deep Learning (Part 3) - Convolutional neural networks (CNN)
|
Statistics and machine learning |
|
2H |
purlGTN:T00263 |
Hands-on |
Machine learning: classification and regression
|
Statistics and machine learning |
|
1H |
purlGTN:T00260 |
Hands-on |
PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis Machine learningPan-cancercancer biomarkersoncogenes and tumor suppressor genes |
Statistics and machine learning |
|
1H30M |
purlGTN:T00262 |
Hands-on |
Classification in Machine Learning
|
Statistics and machine learning |
|
2H |
purlGTN:T00258 |
Hands-on |
Deep Learning (Part 1) - Feedforward neural networks (FNN)
|
Statistics and machine learning |
|
2H |
purlGTN:T00259 |
Hands-on |
Deep Learning (Part 2) - Recurrent neural networks (RNN)
|
Statistics and machine learning |
|
2H |
purlGTN:T00268 |
Hands-on |
Introduction to deep learning
|
Statistics and machine learning |
|
1H |
purlGTN:T00337 |
Hands-on |
Supervised Learning with Hyperdimensional Computing
|
Statistics and machine learning |
Intermediate |
30m |
purlGTN:T00261 |
Hands-on |
Age prediction using machine learning
|
Statistics and machine learning |
|
2H |
purlGTN:T00269 |
Hands-on |
Interval-Wise Testing for omics data
|
Statistics and machine learning |
|
1h |
purlGTN:T00272 |
Hands-on |
Text-mining with the SimText toolset interactive-tools |
Statistics and machine learning |
|
1H |
TBA |
Hands-on |
Breve introducción a Galaxy - en español
|
Introduction to Galaxy Analyses |
Introductory |
30m |
TBA |
Hands-on |
Filtrado, representación y exploración de secuenciación de ARN de células únicas single-cell10xpaper-replicationinteractive-toolstranscriptomics |
Single Cell |
Advanced |
3H |
TBA |
Hands-on |
Generación de una matriz de datos de secuenciación de ARN de células únicas utilizando Alevin single-cell10xpaper-replicationtranscriptomics |
Single Cell |
Advanced |
3H |
TBA |
Hands-on |
Generación de una matriz de datos de secuenciación de ARN de células únicas utilizando Alevin single-cell10xpaper-replicationtranscriptomics |
Single Cell |
Advanced |
3H |
TBA |
Hands-on |
Production d'indicateurs champs de bloc
|
Ecology |
|
1H |
purlGTN:F00240 |
FAQs |
How can I create a tutorial skeleton from a Galaxy workflow?
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:F00110 |
FAQs |
Using tutorial mode
|
Galaxy FAQ |
|
|
purlGTN:F00220 |
FAQs |
I got slightly different numbers than were in the tutorial
|
Introduction to Galaxy Analyses |
|
|
purlGTN:F00258 |
FAQs |
UCSC import: what should my file look like?
|
Epigenetics |
|
|
purlGTN:F00326 |
FAQs |
The UMAP Plots errors out sometimes?
|
Single Cell |
|
|
purlGTN:F00229 |
FAQs |
Are UMIs not actually unique?
|
Single Cell |
|
|
purlGTN:F00235 |
FAQs |
Downloading the files from the NCBI server fails or takes too long.
|
Assembly |
|
|
purlGTN:F00354 |
FAQs |
How can I talk with other users?
|
Single Cell |
|
|
purlGTN:F00111 |
FAQs |
Does your account usage quota seem incorrect?
|
Galaxy FAQ |
|
|
purlGTN:F00112 |
FAQs |
Forgot Password
|
Galaxy FAQ |
|
|
purlGTN:F00113 |
FAQs |
Changing acount email or password
|
Galaxy FAQ |
|
|
purlGTN:F00230 |
FAQs |
Why do we only consider highly variable genes?
|
Single Cell |
|
|
purlGTN:F00388 |
FAQs |
Can we use snippy pipeline instead for the phylogenetic analysis?
|
Microbiome |
|
|
purlGTN:F00312 |
FAQs |
Why do we have a variant mapping file when it is not being used in the workflow?
|
Proteomics |
|
|
purlGTN:F00423 |
FAQs |
Open History files in Integrated Genome Browser (IGB)
|
Galaxy FAQ |
|
|
purlGTN:F00114 |
FAQs |
Using IGV with Galaxy
|
Galaxy FAQ |
|
|
purlGTN:F00231 |
FAQs |
Add genome and annotations to IGV from Galaxy
|
Visualisation |
|
|
purlGTN:F00232 |
FAQs |
Add Mapped reads track to IGV from Galaxy
|
Visualisation |
|
|
purlGTN:F00375 |
FAQs |
Why don't we perform the V-Search dereplication step of ASaiM for metatrascriptomic data?
|
Microbiome |
|
|
purlGTN:F00356 |
FAQs |
What is a Learning Pathway?
|
GTN FAQ |
|
|
purlGTN:F00426 |
FAQs |
Annotating Pre-requisites
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:F00181 |
FAQs |
Why host your materials with the GTN?
|
GTN FAQ |
|
|
purlGTN:F00115 |
FAQs |
Why not use Excel?
|
Galaxy FAQ |
|
|
purlGTN:F00281 |
FAQs |
Can EncyclopeDIA be run on a DIA-MS dataset without a spectral library?
|
Proteomics |
|
|
purlGTN:F00389 |
FAQs |
Can we also use this workflow on Illumina raw reads?
|
Microbiome |
|
|
purlGTN:F00390 |
FAQs |
Do the pipelines work with both isolates and direct from raw meat? or only isolate?
|
Microbiome |
|
|
purlGTN:F00116 |
FAQs |
Annotate a workflow
|
Galaxy FAQ |
|
|
purlGTN:F00397 |
FAQs |
Ensuring Workflows meet Best Practices
|
Galaxy FAQ |
|
|
purlGTN:F00117 |
FAQs |
Creating a new workflow
|
Galaxy FAQ |
|
|
purlGTN:F00118 |
FAQs |
Opening the workflow editor
|
Galaxy FAQ |
|
|
purlGTN:F00136 |
FAQs |
Extraer un flujo de trabajo de tu historial
|
Galaxy FAQ |
|
|
purlGTN:F00119 |
FAQs |
Extracting a workflow from your history
|
Galaxy FAQ |
|
|
purlGTN:F00120 |
FAQs |
Hiding intermediate steps
|
Galaxy FAQ |
|
|
purlGTN:F00121 |
FAQs |
Importing a workflow
|
Galaxy FAQ |
|
|
purlGTN:F00364 |
FAQs |
Import workflows from DockStore
|
Galaxy FAQ |
|
|
purlGTN:F00175 |
FAQs |
Import workflows from WorkflowHub
|
Galaxy FAQ |
|
|
purlGTN:F00122 |
FAQs |
Importing a workflow using the search
|
Galaxy FAQ |
|
|
purlGTN:F00123 |
FAQs |
Setting parameters at run-time
|
Galaxy FAQ |
|
|
purlGTN:F00124 |
FAQs |
Make a workflow public
|
Galaxy FAQ |
|
|
purlGTN:F00125 |
FAQs |
Renaming workflow outputs
|
Galaxy FAQ |
|
|
purlGTN:F00126 |
FAQs |
Viewing a workflow report
|
Galaxy FAQ |
|
|
purlGTN:F00127 |
FAQs |
Running a workflow
|
Galaxy FAQ |
|
|
purlGTN:F00367 |
FAQs |
Importing and Launching a Dockstore Workflow
|
Galaxy FAQ |
|
|
purlGTN:F00176 |
FAQs |
Importing and launching a GTN workflow
|
Galaxy FAQ |
|
|
purlGTN:F00368 |
FAQs |
Importing and Launching a WorkflowHub.eu Workflow
|
Galaxy FAQ |
|
|
purlGTN:W00264 |
Workflow |
Calling variants in non-diploid systems
|
Variant Analysis |
|
|
purlGTN:W00111 |
Workflow |
Galaxy Introduction Peaks2Genes - Part 1
|
Introduction to Galaxy Analyses |
|
|
purlGTN:W00148 |
Workflow |
DIA_analysis_MSstats
|
Proteomics |
|
|
purlGTN:W00149 |
Workflow |
DIA_analysis_MSstats
|
Proteomics |
|
|
purlGTN:W00088 |
Workflow |
Genome Annotation with Prokka
|
Genome Annotation |
|
|
purlGTN:W00112 |
Workflow |
Galaxy Intro Short
|
Introduction to Galaxy Analyses |
|
|
purlGTN:W00123 |
Workflow |
Amplicon Tutorial
|
Microbiome |
|
|
purlGTN:W00124 |
Workflow |
WGS Part In "Analyses Of Metagenomics Data - The Global Picture"
|
Microbiome |
|
|
purlGTN:W00008 |
Workflow |
Intro to Genome Assembly
|
Assembly |
|
|
purlGTN:W00221 |
Workflow |
Classification LSVC
|
Statistics and machine learning |
|
|
purlGTN:W00222 |
Workflow |
Regression GradientBoosting
|
Statistics and machine learning |
|
|
purlGTN:W00223 |
Workflow |
Clustering in Machine Learning
|
Statistics and machine learning |
|
|
purlGTN:W00244 |
Workflow |
DEG Part - Ref Based RNA Seq - Transcriptomics - GTN
|
Transcriptomics |
|
|
purlGTN:W00245 |
Workflow |
QC + Mapping + Counting (single+paired) - Ref Based RNA Seq - Transcriptomics - GTN
|
Transcriptomics |
|
|
purlGTN:W00246 |
Workflow |
QC + Mapping + Counting - Ref Based RNA Seq - Transcriptomics - GTN - subworkflows
|
Transcriptomics |
|
|
purlGTN:W00258 |
Workflow |
Du Novo GTN Tutorial - Make Consensus Sequences
|
Variant Analysis |
|
|
purlGTN:W00259 |
Workflow |
Du Novo GTN Tutorial - Variant Calling
|
Variant Analysis |
|
|
purlGTN:W00100 |
Workflow |
Essential genes detection with Transposon insertion sequencing
|
Genome Annotation |
|
|
purlGTN:W00068 |
Workflow |
GTN - ChIP Seq - Formation Of Super Structures On Xi
|
Epigenetics |
|
|
purlGTN:W00108 |
Workflow |
Find exons with the highest number of features
|
Introduction to Galaxy Analyses |
|
|
purlGTN:W00289 |
Workflow |
Workflow for Identifying MF from ITS2 sequencing using LotuS2 - tutorial example run'
|
Microbiome |
|
|
purlGTN:W00276 |
Workflow |
Calculating diversity from microbiome taxonomic data
|
Microbiome |
|
|
purlGTN:W00141 |
Workflow |
Allele-based Pathogen Identification
|
Microbiome |
|
|
purlGTN:W00142 |
Workflow |
Gene-based Pathogen Identification
|
Microbiome |
|
|
purlGTN:W00143 |
Workflow |
Nanopore Preprocessing
|
Microbiome |
|
|
purlGTN:W00144 |
Workflow |
Pathogen Detection PathoGFAIR Samples Aggregation and Visualisation
|
Microbiome |
|
|
purlGTN:W00145 |
Workflow |
Taxonomy Profiling and Visualization with Krona
|
Microbiome |
|
|
purlGTN:W00140 |
Workflow |
Training: 16S rRNA Analysis with Nanopore Sequencing Reads
|
Microbiome |
|
|
purlGTN:W00132 |
Workflow |
Training: 16S rRNA Sequencing With Mothur: Main Tutorial
|
Microbiome |
|
|
purlGTN:W00146 |
Workflow |
Copy Of GTN Training - Antibiotic Resistance Detection
|
Microbiome |
|
|
purlGTN:W00128 |
Workflow |
Workflow 1: Preprocessing
|
Microbiome |
|
|
purlGTN:W00129 |
Workflow |
Workflow 2: Community Profile
|
Microbiome |
|
|
purlGTN:W00130 |
Workflow |
Workflow 3: Functional Information
|
Microbiome |
|
|
purlGTN:W00131 |
Workflow |
Workflow 3: Functional Information (quick)
|
Microbiome |
|
|
purlGTN:W00133 |
Workflow |
Workflow 1: Quality Control [Galaxy Training: 16S Microbial Analysis With Mothur]
|
Microbiome |
|
|
purlGTN:W00134 |
Workflow |
Workflow 2: Data Cleaning And Chimera Removal [Galaxy Training: 16S Microbial Analysis With Mothur]
|
Microbiome |
|
|
purlGTN:W00135 |
Workflow |
Workflow 3: Classification [Galaxy Training: 16S Microbial Analysis With Mothur]
|
Microbiome |
|
|
purlGTN:W00136 |
Workflow |
Workflow 4: Mock OTU Clustering [Galaxy Training: 16S Microbial Analysis With Mothur]
|
Microbiome |
|
|
purlGTN:W00137 |
Workflow |
Workflow 5: OTU Clustering [Galaxy Training: 16S Microbial Analysis With Mothur]
|
Microbiome |
|
|
purlGTN:W00138 |
Workflow |
Workflow 6: Alpha Diversity [Galaxy Training: 16S Microbial Analysis With Mothur]
|
Microbiome |
|
|
purlGTN:W00139 |
Workflow |
Workflow7: Beta Diversity [Galaxy Training: 16S Microbial Analysis With Mothur]
|
Microbiome |
|
|
purlGTN:W00122 |
Workflow |
Building an amplicon sequence variant (ASV) table from 16S data using DADA2
|
Microbiome |
|
|
purlGTN:W00125 |
Workflow |
Metagenomics assembly tutorial workflow
|
Microbiome |
|
|
purlGTN:W00126 |
Workflow |
workflow-generate-dataset-for-assembly-tutorial
|
Microbiome |
|
|
purlGTN:W00147 |
Workflow |
Taxonomic Profiling and Visualization of Metagenomic Data
|
Microbiome |
|
|
purlGTN:W00121 |
Workflow |
Identification of the micro-organisms in a beer using Nanopore sequencing
|
Microbiome |
|
|
purlGTN:W00127 |
Workflow |
Main Metatranscriptomics Analysis
|
Microbiome |
|
|
purlGTN:W00184 |
Workflow |
GTN - Sequence Analyses - Quality Control (imported from uploaded file)
|
Sequence analysis |
|
|
purlGTN:W00181 |
Workflow |
GTN - Sequence Analyses - Mapping - Jbrowse (imported from uploaded file)
|
Sequence analysis |
|
|
purlGTN:W00182 |
Workflow |
GTN - Sequence Analyses - Mapping (imported from uploaded file)
|
Sequence analysis |
|
|
purlGTN:W00183 |
Workflow |
NCBI Foreign Contamination Screen
|
Sequence analysis |
|
|
purlGTN:W00178 |
Workflow |
Sanger1 : From AB1 to aligned consensus and primers fasta + BLAST
|
Sequence analysis |
|
|
purlGTN:W00179 |
Workflow |
Training Sanger sequences CHD8
|
Sequence analysis |
|
|
purlGTN:W00275 |
Workflow |
Quality and contamination control in bacterial isolate using Illumina MiSeq Data
|
Sequence analysis |
|
|
purlGTN:W00180 |
Workflow |
GTN - Sequence Analyses - Removal of human reads from SARS-CoV-2 sequencing data
|
Sequence analysis |
|
|
TBA |
Workflow |
GTN Tutorial: Data manipulation Olympics - all steps and exercises
|
Foundations of Data Science |
|
|
purlGTN:W00116 |
Workflow |
Finding the Muon Stopping Site: pymuon-suite in Galaxy
|
Materials Science |
|
|
purlGTN:W00074 |
Workflow |
From BAMs to drug resistance prediction with TB-profiler
|
Evolution |
|
|
purlGTN:W00075 |
Workflow |
From Fastqs to VCFs and BAMs
|
Evolution |
|
|
purlGTN:W00076 |
Workflow |
From VCFs to SNP distance matrix
|
Evolution |
|
|
purlGTN:W00072 |
Workflow |
Tree Building (imported from uploaded file)
|
Evolution |
|
|
purlGTN:W00073 |
Workflow |
Mtb phylogeny
|
Evolution |
|
|
purlGTN:W00092 |
Workflow |
Funannotate
|
Genome Annotation |
|
|
purlGTN:W00087 |
Workflow |
Genome annotation with Maker (short)
|
Genome Annotation |
|
|
purlGTN:W00085 |
Workflow |
mrsa AMR gene detection
|
Genome Annotation |
|
|
purlGTN:W00086 |
Workflow |
Genome annotation with Maker
|
Genome Annotation |
|
|
purlGTN:W00099 |
Workflow |
Gene Cluster Product Similarity Search
|
Genome Annotation |
|
|
purlGTN:W00098 |
Workflow |
RepeatMasker
|
Genome Annotation |
|
|
purlGTN:W00090 |
Workflow |
Bacterial Genome Annotation
|
Genome Annotation |
|
|
purlGTN:W00093 |
Workflow |
Functional annotation
|
Genome Annotation |
|
|
purlGTN:W00094 |
Workflow |
Comparative gene analysis
|
Genome Annotation |
|
|
purlGTN:W00091 |
Workflow |
Workflow constructed from history 'CRISPR tutorial Kenji'
|
Genome Annotation |
|
|
purlGTN:W00095 |
Workflow |
CHROMEISTER chromosome comparison
|
Genome Annotation |
|
|
purlGTN:W00096 |
Workflow |
GECKO pairwise comparison
|
Genome Annotation |
|
|
purlGTN:W00283 |
Workflow |
Training - Helixer
|
Genome Annotation |
|
|
purlGTN:W00089 |
Workflow |
Apollo Load Test
|
Genome Annotation |
|
|
purlGTN:W00097 |
Workflow |
Long non-coding RNAs (lncRNAs) annotation with FEELnc
|
Genome Annotation |
|
|
TBA |
Workflow |
Data management in Medicinal Chemistry workflow
|
FAIR Data, Workflows, and Research |
|
|
purlGTN:W00110 |
Workflow |
NGS_tutorial
|
Introduction to Galaxy Analyses |
|
|
purlGTN:W00109 |
Workflow |
GTN Training: Galaxy 101 For Everyone
|
Introduction to Galaxy Analyses |
|
|
purlGTN:W00113 |
Workflow |
Galaxy Intro Strands 2
|
Introduction to Galaxy Analyses |
|
|
purlGTN:W00114 |
Workflow |
Galaxy Intro Strands
|
Introduction to Galaxy Analyses |
|
|
purlGTN:W00115 |
Workflow |
GTN Training: Galaxy 101 For Everyone
|
Introduction to Galaxy Analyses |
|
|
purlGTN:W00107 |
Workflow |
GTN Tutorial: Data manipulation Olympics - all steps and exercises
|
Introduction to Galaxy Analyses |
|
|
purlGTN:W00022 |
Workflow |
Analyse Argo data
|
Climate |
|
|
purlGTN:W00024 |
Workflow |
CLM-FATES_ ALP1 simulation (5 years)
|
Climate |
|
|
purlGTN:W00023 |
Workflow |
Climate 101
|
Climate |
|
|
purlGTN:W00025 |
Workflow |
Ocean's variables 2.0
|
Climate |
|
|
purlGTN:W00026 |
Workflow |
GTN 'Pangeo 101 for everyone - Xarray'
|
Climate |
|
|
purlGTN:W00028 |
Workflow |
Sentinel5 volcanic data
|
Climate |
|
|
purlGTN:W00027 |
Workflow |
Pangeo Jupyter Notebook
|
Climate |
|
|
purlGTN:W00052 |
Workflow |
Marine Omics visualisation
|
Ecology |
|
|
purlGTN:W00050 |
Workflow |
NDVI with OpenEO
|
Ecology |
|
|
purlGTN:W00051 |
Workflow |
NDVI with OpenEO
|
Ecology |
|
|
purlGTN:W00046 |
Workflow |
Champs blocs indicators
|
Ecology |
|
|
purlGTN:W00047 |
Workflow |
de novo Rad Seq
|
Ecology |
|
|
purlGTN:W00060 |
Workflow |
Sentinel 2 example
|
Ecology |
|
|
purlGTN:W00286 |
Workflow |
Ecoregionalization workflow
|
Ecology |
|
|
purlGTN:W00054 |
Workflow |
Workflow Constructed From History 'STACKS RAD: Population Genomics With Reference Genome'
|
Ecology |
|
|
purlGTN:W00055 |
Workflow |
Ref Based Rad Seq
|
Ecology |
|
|
purlGTN:W00056 |
Workflow |
Abundance Index "stacked" Visualization Creation
|
Ecology |
|
|
purlGTN:W00057 |
Workflow |
Phenology "stacked" Visualization Creation
|
Ecology |
|
|
purlGTN:W00058 |
Workflow |
Tutorial regionalGAM Complete Multispecies
|
Ecology |
|
|
purlGTN:W00059 |
Workflow |
Regional GAM Workflow
|
Ecology |
|
|
purlGTN:W00062 |
Workflow |
Xarray_Map_Plotting_Workflow
|
Ecology |
|
|
purlGTN:W00048 |
Workflow |
GBIF data Quality check and filtering workflow Feb-2020
|
Ecology |
|
|
purlGTN:W00043 |
Workflow |
Compute and analyze biodiversity metrics with PAMPA toolsuite
|
Ecology |
|
|
purlGTN:W00044 |
Workflow |
Checking expected species and contamination in bacterial isolate
|
Ecology |
|
|
purlGTN:W00282 |
Workflow |
Marine Omics identifying biosynthetic gene clusters
|
Ecology |
|
|
purlGTN:W00049 |
Workflow |
Genetic Map Rad Seq Workflow
|
Ecology |
|
|
purlGTN:W00061 |
Workflow |
Species Distribution Modeling With Wallace From GBIF - Training Material
|
Ecology |
|
|
purlGTN:W00053 |
Workflow |
preparing genomic data for phylogeny recostruction (GTN)
|
Ecology |
|
|
purlGTN:W00042 |
Workflow |
Workflow constructed from history 'Tuto Obitools'
|
Ecology |
|
|
purlGTN:W00045 |
Workflow |
Workflow 'Biodiversity data exploration tuto'
|
Ecology |
|
|
purlGTN:W00177 |
Workflow |
Secreted Proteins Via GO Annotation And WoLF PSORT For shCTSB Paper
|
Proteomics |
|
|
purlGTN:W00159 |
Workflow |
MaxQuant MSstatsTMT Training
|
Proteomics |
|
|
purlGTN:W00280 |
Workflow |
WF4_Quantitation_Workflow
|
Proteomics |
|
|
purlGTN:W00165 |
Workflow |
Tails Triple Dimethyl OpenMS2.1
|
Proteomics |
|
|
purlGTN:W00166 |
Workflow |
Copy of PeptideDataAnalysis (imported from uploaded file)
|
Proteomics |
|
|
purlGTN:W00155 |
Workflow |
EncyclopeDIA-GTN
|
Proteomics |
|
|
purlGTN:W00167 |
Workflow |
Proteomics: Peptide and Protein ID using OpenMS
|
Proteomics |
|
|
purlGTN:W00168 |
Workflow |
Peptide And Protein ID Via OMS Using Two Search Engines
|
Proteomics |
|
|
purlGTN:W00164 |
Workflow |
PeptideML
|
Proteomics |
|
|
purlGTN:W00169 |
Workflow |
Peptide And Protein ID Tutorial
|
Proteomics |
|
|
purlGTN:W00170 |
Workflow |
ProteinID SG PS Tutorial WF datasetCollection
|
Proteomics |
|
|
purlGTN:W00156 |
Workflow |
MS Imaging Loading Exploring Data
|
Proteomics |
|
|
purlGTN:W00171 |
Workflow |
Proteomics: Peptide and Protein Quantification via stable istobe labeling
|
Proteomics |
|
|
purlGTN:W00175 |
Workflow |
'Proteome Annotation'
|
Proteomics |
|
|
purlGTN:W00176 |
Workflow |
ProteoRE ProteomeAnnotation Tutorial (release 2.0)
|
Proteomics |
|
|
purlGTN:W00157 |
Workflow |
Proteomics: MaxQuant workflow
|
Proteomics |
|
|
purlGTN:W00281 |
Workflow |
WF5_Data_Interpretation_Worklow
|
Proteomics |
|
|
purlGTN:W00158 |
Workflow |
Proteomics: MaxQuant and MSstats LFQ workflow
|
Proteomics |
|
|
purlGTN:W00151 |
Workflow |
DIA_lib_OSW
|
Proteomics |
|
|
purlGTN:W00279 |
Workflow |
WF3_VERIFICATION_WORKFLOW
|
Proteomics |
|
|
purlGTN:W00152 |
Workflow |
'Biomarkers4Paris' Workflow
|
Proteomics |
|
|
purlGTN:W00172 |
Workflow |
GTN Proteogenomics1 Database Creation
|
Proteomics |
|
|
purlGTN:W00163 |
Workflow |
metaquantome-taxonomy-workflow
|
Proteomics |
|
|
purlGTN:W00160 |
Workflow |
Metaproteomics_GTN
|
Proteomics |
|
|
purlGTN:W00278 |
Workflow |
WF2_Discovery-Workflow
|
Proteomics |
|
|
purlGTN:W00173 |
Workflow |
GTN Proteogemics2 Database Search
|
Proteomics |
|
|
purlGTN:W00277 |
Workflow |
WF1_Database_Generation_Workflow
|
Proteomics |
|
|
purlGTN:W00153 |
Workflow |
Proteomics: database handling
|
Proteomics |
|
|
purlGTN:W00154 |
Workflow |
Proteomics: database handling including mycoplasma
|
Proteomics |
|
|
purlGTN:W00161 |
Workflow |
metaQuantome_datacreation_workflow
|
Proteomics |
|
|
purlGTN:W00162 |
Workflow |
metaquantome-function-worklow
|
Proteomics |
|
|
purlGTN:W00150 |
Workflow |
DIA_Analysis_OSW
|
Proteomics |
|
|
purlGTN:W00174 |
Workflow |
GTN Proteogemics3 Novel Peptide Analysis
|
Proteomics |
|
|
purlGTN:W00040 |
Workflow |
MakeAFakeInput
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:W00041 |
Workflow |
Retrieve climate data from Copernicus
|
Contributing to the Galaxy Training Material |
|
|
purlGTN:W00005 |
Workflow |
Debruijn Graph
|
Assembly |
|
|
purlGTN:W00020 |
Workflow |
Unicycler training
|
Assembly |
|
|
purlGTN:W00007 |
Workflow |
Genome Assembly using PacBio data
|
Assembly |
|
|
purlGTN:W00009 |
Workflow |
Assembly polishing - upgraded
|
Assembly |
|
|
purlGTN:W00010 |
Workflow |
Assembly with Flye - upgraded
|
Assembly |
|
|
purlGTN:W00011 |
Workflow |
Assess genome quality - upgraded
|
Assembly |
|
|
purlGTN:W00012 |
Workflow |
Combined workflows for large genome assembly - upgraded
|
Assembly |
|
|
purlGTN:W00013 |
Workflow |
Data QC - upgraded
|
Assembly |
|
|
purlGTN:W00014 |
Workflow |
Racon polish with Illumina reads (R1 only), x2 - upgraded
|
Assembly |
|
|
purlGTN:W00015 |
Workflow |
Racon polish with long reads, x4 - upgraded
|
Assembly |
|
|
purlGTN:W00016 |
Workflow |
Trim and filter reads - fastp - upgraded
|
Assembly |
|
|
purlGTN:W00017 |
Workflow |
kmer counting - meryl - upgraded
|
Assembly |
|
|
purlGTN:W00285 |
Workflow |
Mitogenome-Assembly-VGP0
|
Assembly |
|
|
purlGTN:W00019 |
Workflow |
Genome Assembly of MRSA using Oxford Nanopore MinION (and Illumina data if available)
|
Assembly |
|
|
purlGTN:W00021 |
Workflow |
VGP assembly: training workflow
|
Assembly |
|
|
purlGTN:W00002 |
Workflow |
assembly_with_preprocessing
|
Assembly |
|
|
purlGTN:W00003 |
Workflow |
assembly_with_preprocessing_and_sra_download
|
Assembly |
|
|
purlGTN:W00001 |
Workflow |
Genome Assembly Quality Control
|
Assembly |
|
|
TBA |
Workflow |
Metagenomics assembly tutorial workflow
|
Assembly |
|
|
TBA |
Workflow |
workflow-generate-dataset-for-assembly-tutorial
|
Assembly |
|
|
purlGTN:W00284 |
Workflow |
Assembly-decontamination-VGP9
|
Assembly |
|
|
purlGTN:W00000 |
Workflow |
Post-assembly workflow
|
Assembly |
|
|
purlGTN:W00006 |
Workflow |
Ecoli Comparison
|
Assembly |
|
|
purlGTN:W00004 |
Workflow |
Chloroplast-genome-assembly-and-annotation
|
Assembly |
|
|
purlGTN:W00018 |
Workflow |
Genome Assembly of MRSA using Illumina MiSeq Data
|
Assembly |
|
|
purlGTN:W00033 |
Workflow |
Workflow constructed from history 'Hsp90-MDAnalysis'
|
Computational chemistry |
|
|
purlGTN:W00034 |
Workflow |
MD protein-ligand workflow (from PDB structure)
|
Computational chemistry |
|
|
purlGTN:W00032 |
Workflow |
Virtual screening of the SARS-CoV-2 main protease with rDock and pose scoring
|
Computational chemistry |
|
|
purlGTN:W00031 |
Workflow |
CTB Workflow
|
Computational chemistry |
|
|
purlGTN:W00029 |
Workflow |
Analysis using MDAnalysis
|
Computational chemistry |
|
|
purlGTN:W00030 |
Workflow |
Simple Analysis
|
Computational chemistry |
|
|
purlGTN:W00036 |
Workflow |
MD NAMD
|
Computational chemistry |
|
|
purlGTN:W00037 |
Workflow |
NAMD MD From CHARMM GUI
|
Computational chemistry |
|
|
purlGTN:W00038 |
Workflow |
Data management in Medicinal Chemistry workflow
|
Computational chemistry |
|
|
purlGTN:W00035 |
Workflow |
GROMACS Training Workflow
|
Computational chemistry |
|
|
purlGTN:W00039 |
Workflow |
Zauberkugel
|
Computational chemistry |
|
|
purlGTN:W00268 |
Workflow |
Identification of somatic and germline variants from tumor and normal sample pairs tutorial
|
Variant Analysis |
|
|
purlGTN:W00267 |
Workflow |
Somatic-Variant-Discovery-from-WES-Data-Using-Control-FREEC
|
Variant Analysis |
|
|
purlGTN:W00269 |
Workflow |
TB Variant Analysis v1.0
|
Variant Analysis |
|
|
purlGTN:W00260 |
Workflow |
Exome Seq Training Pre-Mapped W Cached Ref
|
Variant Analysis |
|
|
purlGTN:W00261 |
Workflow |
Exome Seq Training Full W Cached Ref
|
Variant Analysis |
|
|
purlGTN:W00270 |
Workflow |
Trio Analysis Tutorial
|
Variant Analysis |
|
|
purlGTN:W00257 |
Workflow |
Diploid
|
Variant Analysis |
|
|
purlGTN:W00266 |
Workflow |
Simple COVID-19 - PE Variation
|
Variant Analysis |
|
|
purlGTN:W00262 |
Workflow |
Mapping And Molecular Identification Of Phenotype Causing Mutations
|
Variant Analysis |
|
|
purlGTN:W00263 |
Workflow |
Microbial Variant Calling
|
Variant Analysis |
|
|
purlGTN:W00265 |
Workflow |
pox-virus-tiled-amplicon-ref-masking
|
Variant Analysis |
|
|
purlGTN:W00077 |
Workflow |
Intermine import/export
|
Using Galaxy and Managing your Data |
|
|
purlGTN:W00079 |
Workflow |
vcf2lineage
|
Using Galaxy and Managing your Data |
|
|
purlGTN:W00083 |
Workflow |
GTN Training: Workflow Reports - Galaxy 101 For Everyone
|
Using Galaxy and Managing your Data |
|
|
purlGTN:W00084 |
Workflow |
GTN Training: Workflow Reports
|
Using Galaxy and Managing your Data |
|
|
purlGTN:W00082 |
Workflow |
Select First N Lines
|
Using Galaxy and Managing your Data |
|
|
purlGTN:W00080 |
Workflow |
Tutorial workflow
|
Using Galaxy and Managing your Data |
|
|
purlGTN:W00081 |
Workflow |
Subworkflow
|
Using Galaxy and Managing your Data |
|
|
purlGTN:W00078 |
Workflow |
GTN_ENA_upload_workflow
|
Using Galaxy and Managing your Data |
|
|
purlGTN:W00101 |
Workflow |
analyze_screen
|
Imaging |
|
|
purlGTN:W00102 |
Workflow |
feature_extraction
|
Imaging |
|
|
purlGTN:W00103 |
Workflow |
Workflow constructed from Tutorial 'Introduction to image analysis using Galaxy'
|
Imaging |
|
|
purlGTN:W00106 |
Workflow |
CP_pipeline_IDR_training
|
Imaging |
|
|
purlGTN:W00104 |
Workflow |
GTN_Exemplar_002_TMA_workflow
|
Imaging |
|
|
purlGTN:W00105 |
Workflow |
CP_object_tracking_example
|
Imaging |
|
|
purlGTN:W00232 |
Workflow |
Pathway Analysis
|
Synthetic Biology |
|
|
purlGTN:W00231 |
Workflow |
Genetic Design (BASIC Assembly)
|
Synthetic Biology |
|
|
purlGTN:W00233 |
Workflow |
RetroSynthesis
|
Synthetic Biology |
|
|
purlGTN:W00196 |
Workflow |
CS3_Filter, Plot and Explore Single-cell RNA-seq Data
|
Single Cell |
|
|
purlGTN:W00197 |
Workflow |
Filter, Plot and Explore Single-cell RNA-seq Data updated
|
Single Cell |
|
|
purlGTN:W00198 |
Workflow |
Cell Cycle Regression Workflow
|
Single Cell |
|
|
purlGTN:W00208 |
Workflow |
CelSeq2: Multi Batch (mm10)
|
Single Cell |
|
|
purlGTN:W00209 |
Workflow |
CelSeq2: Single Batch (mm10)
|
Single Cell |
|
|
purlGTN:W00203 |
Workflow |
AnnData to Cell Data Set (CDS) conversion
|
Single Cell |
|
|
purlGTN:W00204 |
Workflow |
AnnData to Seurat conversion
|
Single Cell |
|
|
purlGTN:W00205 |
Workflow |
AnnData to SingleCellExperiment (SCE) conversion
|
Single Cell |
|
|
purlGTN:W00213 |
Workflow |
Scater
|
Single Cell |
|
|
purlGTN:W00195 |
Workflow |
Combining datasets after pre-processing
|
Single Cell |
|
|
purlGTN:W00207 |
Workflow |
scRNA Plant Analysis
|
Single Cell |
|
|
purlGTN:W00206 |
Workflow |
NCBI to Anndata
|
Single Cell |
|
|
purlGTN:W00194 |
Workflow |
Generating a single cell matrix using Alevin
|
Single Cell |
|
|
purlGTN:W00287 |
Workflow |
GO Enrichment Workflow
|
Single Cell |
|
|
purlGTN:W00202 |
Workflow |
Inferring Trajectories with Scanpy Tutorial Workflow
|
Single Cell |
|
|
purlGTN:W00210 |
Workflow |
Preprocessing of 10X scRNA-seq data
|
Single Cell |
|
|
purlGTN:W00191 |
Workflow |
Scanpy Parameter Iterator workflow full (imported from URL)
|
Single Cell |
|
|
purlGTN:W00186 |
Workflow |
MuSiC Workflow
|
Single Cell |
|
|
purlGTN:W00192 |
Workflow |
scATAC-seq Count Matrix Filtering
|
Single Cell |
|
|
purlGTN:W00193 |
Workflow |
scATAC-seq FASTQ to Count Matrix
|
Single Cell |
|
|
purlGTN:W00211 |
Workflow |
RaceID Workflow
|
Single Cell |
|
|
purlGTN:W00185 |
Workflow |
EBI SCXA to AnnData (Scanpy) or Seurat Object
|
Single Cell |
|
|
purlGTN:W00274 |
Workflow |
Workflow - Standard processing of 10X single cell ATAC-seq data with SnapATAC2
|
Single Cell |
|
|
purlGTN:W00199 |
Workflow |
AnnData object to Monocle input files
|
Single Cell |
|
|
purlGTN:W00200 |
Workflow |
Monocle3 workflow
|
Single Cell |
|
|
purlGTN:W00201 |
Workflow |
Trajectory analysis using Monocle3 - full tutorial workflow
|
Single Cell |
|
|
purlGTN:W00187 |
Workflow |
MuSiC-Deconvolution: Data generation | sc | matrix + ESet
|
Single Cell |
|
|
purlGTN:W00188 |
Workflow |
MuSiC-Deconvolution: Data generation | sc | metadata
|
Single Cell |
|
|
purlGTN:W00189 |
Workflow |
MuSiC-Deconvolution: Data generation | bulk | ESet
|
Single Cell |
|
|
purlGTN:W00212 |
Workflow |
Clustering 3k PBMC with Scanpy
|
Single Cell |
|
|
purlGTN:W00190 |
Workflow |
MuSiC-Deconvolution: Compare
|
Single Cell |
|
|
purlGTN:W00063 |
Workflow |
ATAC-seq GTM
|
Epigenetics |
|
|
purlGTN:W00065 |
Workflow |
Identification Of The Binding Sites Of The Estrogen Receptor - Chip Seq
|
Epigenetics |
|
|
purlGTN:W00066 |
Workflow |
Identification Of The Binding Sites Of The Estrogen Receptor - Qc Mapping
|
Epigenetics |
|
|
purlGTN:W00064 |
Workflow |
ATAC-seq GTM
|
Epigenetics |
|
|
purlGTN:W00069 |
Workflow |
Galaxy Workflow Galaxy Hi C
|
Epigenetics |
|
|
purlGTN:W00071 |
Workflow |
Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)
|
Epigenetics |
|
|
purlGTN:W00070 |
Workflow |
Workflow Methylation Seq
|
Epigenetics |
|
|
purlGTN:W00067 |
Workflow |
Infinium Human Methylation BeadChip
|
Epigenetics |
|
|
purlGTN:W00236 |
Workflow |
GTN_differential_isoform_expression
|
Transcriptomics |
|
|
purlGTN:W00253 |
Workflow |
Visualization Of RNA-Seq Results With Volcano Plot
|
Transcriptomics |
|
|
purlGTN:W00254 |
Workflow |
Blockclust 1.1.0 Clustering
|
Transcriptomics |
|
|
purlGTN:W00248 |
Workflow |
RNA Seq Counts To Genes
|
Transcriptomics |
|
|
purlGTN:W00243 |
Workflow |
Workflow Constructed From History 'Heinz Workflow Trial Sep 11'
|
Transcriptomics |
|
|
purlGTN:W00252 |
Workflow |
Heatmap2 Workflow
|
Transcriptomics |
|
|
purlGTN:W00242 |
Workflow |
Plant bulk RNA-Seq workflow
|
Transcriptomics |
|
|
purlGTN:W00238 |
Workflow |
GO Enrichment Workflow
|
Transcriptomics |
|
|
purlGTN:W00235 |
Workflow |
De novo transcriptome reconstruction with RNA-Seq
|
Transcriptomics |
|
|
purlGTN:W00250 |
Workflow |
QC report
|
Transcriptomics |
|
|
purlGTN:W00251 |
Workflow |
RNA Seq Reads To Counts
|
Transcriptomics |
|
|
purlGTN:W00237 |
Workflow |
trinity NG
|
Transcriptomics |
|
|
purlGTN:W00239 |
Workflow |
BY-COVID: Data Download
|
Transcriptomics |
|
|
purlGTN:W00240 |
Workflow |
mRNA-Seq BY-COVID Pipeline: Analysis
|
Transcriptomics |
|
|
purlGTN:W00241 |
Workflow |
mRNA-Seq BY-COVID Pipeline: Counts
|
Transcriptomics |
|
|
purlGTN:W00255 |
Workflow |
sRNA Seq Step 1: Read Pre Processing And Removal Of Artifacts (no Grooming)
|
Transcriptomics |
|
|
purlGTN:W00256 |
Workflow |
sRNA Seq Step 2: Salmon And DESeq2
|
Transcriptomics |
|
|
purlGTN:W00234 |
Workflow |
Tutorial CLIPseq Explorer Demultiplexed PEAKachu eCLIP Hg38
|
Transcriptomics |
|
|
purlGTN:W00249 |
Workflow |
RNA Seq Genes To Pathways (imported from uploaded file)
|
Transcriptomics |
|
|
purlGTN:W00247 |
Workflow |
RNA-RNA interactome data analysis - chira v1.4.3
|
Transcriptomics |
|
|
purlGTN:W00119 |
Workflow |
MSI Workflow: spatial distribution
|
Metabolomics |
|
|
purlGTN:W00117 |
Workflow |
GC MS using XCMS
|
Metabolomics |
|
|
purlGTN:W00288 |
Workflow |
End-to-end EI+ mass spectra prediction workflow using QCxMS
|
Metabolomics |
|
|
purlGTN:W00120 |
Workflow |
MSI Finding Diff Analytes
|
Metabolomics |
|
|
purlGTN:W00118 |
Workflow |
Workflow Constructed From History 'imported: testpourGCC'
|
Metabolomics |
|
|
purlGTN:W00273 |
Workflow |
Circos for E. Coli
|
Visualisation |
|
|
purlGTN:W00271 |
Workflow |
Circos tutorial
|
Visualisation |
|
|
purlGTN:W00272 |
Workflow |
Circos: Nature workflow
|
Visualisation |
|
|
purlGTN:W00228 |
Workflow |
Machine Learning
|
Statistics and machine learning |
|
|
purlGTN:W00225 |
Workflow |
gpu_jupytool
|
Statistics and machine learning |
|
|
purlGTN:W00229 |
Workflow |
ml_regression
|
Statistics and machine learning |
|
|
purlGTN:W00224 |
Workflow |
fruit_360
|
Statistics and machine learning |
|
|
purlGTN:W00214 |
Workflow |
Intro_To_CNN_v1.0.11.0
|
Statistics and machine learning |
|
|
purlGTN:W00217 |
Workflow |
papaa@0.1.9_PI3K_OG_model_tutorial
|
Statistics and machine learning |
|
|
purlGTN:W00220 |
Workflow |
ml_classification
|
Statistics and machine learning |
|
|
purlGTN:W00215 |
Workflow |
Intro_To_FNN_v1_0_10_0
|
Statistics and machine learning |
|
|
purlGTN:W00216 |
Workflow |
Intro_To_RNN_v1_0_10_0
|
Statistics and machine learning |
|
|
purlGTN:W00226 |
Workflow |
Intro_To_Deep_Learning
|
Statistics and machine learning |
|
|
purlGTN:W00218 |
Workflow |
Age Prediction DNA Methylation
|
Statistics and machine learning |
|
|
purlGTN:W00219 |
Workflow |
Age Prediction RNA-Seq
|
Statistics and machine learning |
|
|
purlGTN:W00227 |
Workflow |
Workflow Constructed From History 'IWTomics Workflow'
|
Statistics and machine learning |
|
|
purlGTN:W00230 |
Workflow |
Simtext training workflow
|
Statistics and machine learning |
|
|