Every 3 months we organise one day dedicated to the GTN community! Thursday, May 20th is the next GTN CoFest. We will be working on the training materials, have discussions with the global Galaxy traning community. Do you teach with Galaxy? Want to learn how to add your tutorial to the GTN? New to the community and just want to learn more? Everybody is welcome!
Full StoryBérénice Batut
Affiliations
Contributions
The following list includes only slides and tutorials where the individual or organisation has been added to the contributor list. This may not include the sum total of their contributions to the training materials (e.g. GTN css or design, tutorial datasets, workflow development, etc.) unless described by a news post.
Editorial Roles
This contributor has taken on additional responsibilities as an editor for the following topics. They are responsible for ensuring that the content is up to date, accurate, and follows GTN best practices.
- Contributing to the Galaxy Training Material
- Foundations of Data Science
- Development in Galaxy
- Microbiome
- Sequence analysis
- Teaching and Hosting Galaxy training
- Transcriptomics
- Variant Analysis
- Detection of AMR genes in bacterial genomes
- Gallantries Grant - Intellectual Output 2 - Large-scale data analysis, and introduction to visualisation and data modelling
- Gallantries Grant - Intellectual Output 4 - Data analysis and modelling for evidence and hypothesis generation and knowledge discovery
- Gallantries Grant - Intellectual Output 5 - Train-the-Trainer and mentoring programme
- Metagenomics data processing and analysis for microbiome
- Train the Trainers
Tutorials
- Microbiome / Metatranscriptomics analysis using microbiome RNA-seq data ✍️ 🧐
- Microbiome / QIIME 2 Moving Pictures 🧐
- Microbiome / Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition ✍️ 🧐
- Microbiome / 16S Microbial Analysis with mothur (extended) ✍️ 🧐
- Microbiome / Metatranscriptomics analysis using microbiome RNA-seq data (short) ✍️ 🧐
- Microbiome / Taxonomic Profiling and Visualization of Metagenomic Data ✍️ 🧐
- Microbiome / Analyses of metagenomics data - The global picture ✍️ 🧐
- Microbiome / Assembly of metagenomic sequencing data ✍️ 🧐
- Microbiome / Antibiotic resistance detection 🧐
- Microbiome / 16S Microbial Analysis with mothur (short) ✍️ 🧐
- Microbiome / Building an amplicon sequence variant (ASV) table from 16S data using DADA2 ✍️ 🧐
- Microbiome / 16S Microbial analysis with Nanopore data 🧐
- Microbiome / Identification of the micro-organisms in a beer using Nanopore sequencing ✍️ 🧐
- Microbiome / Calculating α and β diversity from microbiome taxonomic data ✍️ 🧐
- Microbiome / Binning of metagenomic sequencing data 🧐
- Microbiome / QIIME 2 Cancer Microbiome Intervention 🧐
- Using Galaxy and Managing your Data / Automating Galaxy workflows using the command line 🧐
- Using Galaxy and Managing your Data / Understanding Galaxy history system 📝 🧐
- Using Galaxy and Managing your Data / Extracting Workflows from Histories 🧐
- Using Galaxy and Managing your Data / InterMine integration with Galaxy 🧐
- Using Galaxy and Managing your Data / Use Jupyter notebooks in Galaxy 🧐
- Using Galaxy and Managing your Data / Name tags for following complex histories 🧐
- Using Galaxy and Managing your Data / RStudio in Galaxy ✍️ 🧐
- Using Galaxy and Managing your Data / Using dataset collections 🧐
- Using Galaxy and Managing your Data / Group tags for complex experimental designs 🧐
- Using Galaxy and Managing your Data / Rule Based Uploader: Advanced 🧐
- Galaxy Server administration / Deploying a compute cluster in OpenStack via Terraform 🧐
- Galaxy Server administration / Galaxy Database schema 🧐
- Galaxy Server administration / Galaxy Installation with Ansible 🧐
- Galaxy Server administration / Reference Data with CVMFS 🧐
- Galaxy Server administration / Data Libraries 🧐
- Galaxy Server administration / Running Jobs on Remote Resources with Pulsar 🧐
- Galaxy Server administration / Ansible 🧐
- Galaxy Server administration / Galaxy Monitoring with gxadmin 🧐
- Galaxy Server administration / External Authentication 🧐
- Galaxy Server administration / Distributed Object Storage 🧐
- Galaxy Server administration / Galaxy Monitoring with Telegraf and Grafana 🧐
- Galaxy Server administration / Galaxy Tool Management with Ephemeris 🧐
- Galaxy Server administration / Connecting Galaxy to a compute cluster 🧐
- Galaxy Server administration / Galaxy Monitoring with Reports 🧐
- Visualisation / Genomic Data Visualisation with JBrowse 🧐
- Single Cell / Combining single cell datasets after pre-processing 🧐
- Single Cell / Downstream Single-cell RNA analysis with RaceID 🧐
- Single Cell / Pre-processing of Single-Cell RNA Data ✍️ 🧐
- Single Cell / Clustering 3K PBMCs with Scanpy ✍️
- Single Cell / Pre-processing of 10X Single-Cell RNA Datasets 🧐
- Single Cell / Understanding Barcodes 🧐
- Computational chemistry / Running molecular dynamics simulations using NAMD 🧐
- Computational chemistry / Analysis of molecular dynamics simulations 🧐
- Computational chemistry / Setting up molecular systems 🧐
- Computational chemistry / Running molecular dynamics simulations using GROMACS 🧐
- Teaching and Hosting Galaxy training / Teaching experiences ✍️ 🧐
- Teaching and Hosting Galaxy training / Assessment and feedback in training and teachings ✍️ 🧐
- Teaching and Hosting Galaxy training / Teaching online ✍️
- Teaching and Hosting Galaxy training / Hybrid training ✍️
- Teaching and Hosting Galaxy training / Live Coding is a Skill ✍️
- Teaching and Hosting Galaxy training / Set up a Galaxy for Training ✍️ 🧐
- Teaching and Hosting Galaxy training / Train-the-Trainer: putting it all together ✍️ 🧐
- Teaching and Hosting Galaxy training / Training techniques to enhance learner participation and engagement ✍️ 🧐
- Teaching and Hosting Galaxy training / Motivation and Demotivation ✍️ 🧐
- Teaching and Hosting Galaxy training / Organizing a workshop ✍️
- Teaching and Hosting Galaxy training / Galaxy Admin Training 🧐
- Teaching and Hosting Galaxy training / Running a workshop as instructor ✍️
- Teaching and Hosting Galaxy training / Asynchronous training ✍️
- Ecology / Species distribution modeling ✍️
- Ecology / RAD-Seq Reference-based data analysis 🧐
- Ecology / Checking expected species and contamination in bacterial isolate ✍️
- Ecology / RAD-Seq to construct genetic maps 🧐
- Ecology / RAD-Seq de-novo data analysis 🧐
- Ecology / Regional GAM ✍️
- Ecology / Preparing genomic data for phylogeny reconstruction 🧐
- Assembly / De Bruijn Graph Assembly 🧐
- Assembly / Making sense of a newly assembled genome 🧐
- Assembly / Using the VGP workflows to assemble a vertebrate genome with HiFi and Hi-C data 🧐
- Assembly / Chloroplast genome assembly 🧐
- Assembly / Genome Assembly of a bacterial genome (MRSA) sequenced using Illumina MiSeq Data ✍️ 🧐
- Assembly / Genome Assembly of MRSA from Oxford Nanopore MinION data (and optionally Illumina data) ✍️ 🧐
- Assembly / An Introduction to Genome Assembly 🧐
- Assembly / Unicycler Assembly 🧐
- Climate / Functionally Assembled Terrestrial Ecosystem Simulator (FATES) 🧐
- Sequence analysis / Mapping ✍️ 🧐
- Sequence analysis / Quality Control ✍️ 🧐
- Sequence analysis / Removal of human reads from SARS-CoV-2 sequencing data 🧐
- Sequence analysis / Quality and contamination control in bacterial isolate using Illumina MiSeq Data ✍️ 🧐
- Sequence analysis / SARS-CoV-2 Viral Sample Alignment and Variant Visualization 🧐
- Statistics and machine learning / Interval-Wise Testing for omics data 🧐
- Statistics and machine learning / PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis 🧐
- Statistics and machine learning / Age prediction using machine learning 🧐
- Statistics and machine learning / Basics of machine learning 🧐
- Statistics and machine learning / Machine learning: classification and regression ✍️ 🧐
- Evolution / Tree thinking for tuberculosis evolution and epidemiology 🧐
- Epigenetics / Infinium Human Methylation BeadChip 🧐
- Epigenetics / Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1) 🧐
- Epigenetics / Formation of the Super-Structures on the Inactive X ✍️ 🧐
- Epigenetics / Identification of the binding sites of the Estrogen receptor ✍️ 🧐
- Epigenetics / DNA Methylation data analysis 🧐
- Epigenetics / Hi-C analysis of Drosophila melanogaster cells using HiCExplorer 🧐
- Proteomics / metaQuantome 1: Data creation 🧐
- Proteomics / Detection and quantitation of N-termini (degradomics) via N-TAILS 🧐
- Proteomics / Label-free versus Labelled - How to Choose Your Quantitation Method 🧐
- Proteomics / Protein FASTA Database Handling 🧐
- Proteomics / Clinical Metaproteomics 2: Discovery 🧐
- Proteomics / Clinical Metaproteiomics 1: Database-Generation 🧐
- Proteomics / Secretome Prediction 🧐
- Proteomics / Metaproteomics tutorial 🧐
- Proteomics / Peptide and Protein ID using SearchGUI and PeptideShaker 🧐
- Proteomics / Peptide and Protein Quantification via Stable Isotope Labelling (SIL) 🧐
- Proteomics / Mass spectrometry imaging: Loading and exploring MSI data 🧐
- Proteomics / Clinical Metaproteomics 4: Quantitation 🧐
- Proteomics / Clinical Metaproteomics 3: Verification 🧐
- Proteomics / metaQuantome 2: Function 🧐
- Proteomics / Peptide and Protein ID using OpenMS tools 🧐
- Proteomics / Clinical Metaproteomics 5: Data Interpretation 🧐
- Proteomics / metaQuantome 3: Taxonomy 🧐
- Proteomics / Annotating a protein list identified by LC-MS/MS experiments 🧐
- Contributing to the Galaxy Training Material / Creating Interactive Galaxy Tours ✍️ 🧐
- Contributing to the Galaxy Training Material / Including a new topic ✍️ 🧐
- Contributing to the Galaxy Training Material / Tools, Data, and Workflows for tutorials ✍️ 🧐
- Contributing to the Galaxy Training Material / Contributing with GitHub via command-line ✍️ 🧐
- Contributing to the Galaxy Training Material / Creating content in Markdown ✍️ 🧐
- Contributing to the Galaxy Training Material / Creating a new tutorial ✍️ 🧐
- Contributing to the Galaxy Training Material / Running the GTN website locally using the command line ✍️ 🧐
- Contributing to the Galaxy Training Material / Adding auto-generated video to your slides 🧐
- Contributing to the Galaxy Training Material / Principles of learning and how they apply to training and teaching ✍️ 🧐
- Contributing to the Galaxy Training Material / Design and plan session, course, materials ✍️ 🧐
- Contributing to the Galaxy Training Material / Updating tool versions in a tutorial 📝 🧐
- Contributing to the Galaxy Training Material / FAIR-by-Design methodology 🧐
- Contributing to the Galaxy Training Material / Contributing with GitHub via its interface ✍️ 🧐
- Contributing to the Galaxy Training Material / Generating PDF artefacts of the website ✍️ 🧐
- Foundations of Data Science / Advanced R in Galaxy ✍️
- Foundations of Data Science / Advanced SQL 🧐
- Foundations of Data Science / Learning about one gene across biological resources and formats ✍️ 🧐
- Foundations of Data Science / R basics in Galaxy 📝 🧐
- Foundations of Data Science / One protein along the UniProt page ✍️ 🧐
- Transcriptomics / Differential abundance testing of small RNAs 🧐
- Transcriptomics / De novo transcriptome reconstruction with RNA-Seq 🧐
- Transcriptomics / Reference-based RNA-Seq data analysis ✍️ 🧐
- Transcriptomics / CLIP-Seq data analysis from pre-processing to motif detection ✍️ 🧐
- Transcriptomics / 1: RNA-Seq reads to counts 🧐
- Transcriptomics / Visualization of RNA-Seq results with CummeRbund 🧐
- Transcriptomics / Whole transcriptome analysis of Arabidopsis thaliana 🧐
- Transcriptomics / Reference-based RNAseq data analysis (long) 🧐
- Transcriptomics / RNA Seq Counts to Viz in R ✍️ 🧐
- Transcriptomics / Network analysis with Heinz 🧐
- Variant Analysis / Calling very rare variants 🧐
- Variant Analysis / Identification of somatic and germline variants from tumor and normal sample pairs 🧐
- Variant Analysis / Calling variants in non-diploid systems 🧐
- Variant Analysis / Calling variants in diploid systems 🧐
- Variant Analysis / Mapping and molecular identification of phenotype-causing mutations 🧐
- Variant Analysis / Exome sequencing data analysis for diagnosing a genetic disease ✍️ 🧐
- Variant Analysis / Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data ✍️ 🧐
- Variant Analysis / M. tuberculosis Variant Analysis 🧐
- Variant Analysis / Microbial Variant Calling 🧐
- Genome Annotation / Refining Genome Annotations with Apollo (prokaryotes) 🧐
- Genome Annotation / Comparative gene analysis in unannotated genomes 🧐
- Genome Annotation / Identification of AMR genes in an assembled bacterial genome ✍️ 🧐
- Genome Annotation / Genome annotation with Funannotate 🧐
- Genome Annotation / Genome annotation with Maker 🧐
- Genome Annotation / Genome annotation with Maker (short) 🧐
- Genome Annotation / Genome annotation with Prokka 🧐
- Genome Annotation / Genome Annotation 🧐
- Genome Annotation / Creating an Official Gene Set 🧐
- Genome Annotation / Bacterial Genome Annotation ✍️ 🧐
- Genome Annotation / Essential genes detection with Transposon insertion sequencing ✍️ 🧐
- Genome Annotation / Refining Genome Annotations with Apollo (eukaryotes) 🧐
- Development in Galaxy / Data source integration ✍️ 🧐
- Development in Galaxy / Adding and updating best practice metadata for Galaxy tools using the bio.tools registry ✍️ 🧐
- Development in Galaxy / JavaScript plugins 🧐
- Development in Galaxy / Generic plugins 🧐
- Development in Galaxy / Galaxy Webhooks 🧐
- Introduction to Galaxy Analyses / Very Short Introductions: QC 🧐
- Introduction to Galaxy Analyses / Introduction to Genomics and Galaxy 🧐
- Introduction to Galaxy Analyses / A short introduction to Galaxy 📝 🧐
- Introduction to Galaxy Analyses / From peaks to genes ✍️ 🧐
- Introduction to Galaxy Analyses / IGV Introduction 🧐
- Introduction to Galaxy Analyses / NGS data logistics 🧐
- Introduction to Galaxy Analyses / Upload data to Galaxy ✍️ 🧐
- Introduction to Galaxy Analyses / Galaxy Basics for genomics 🧐
- Introduction to Galaxy Analyses / Galaxy Basics for everyone 🧐
- Galaxy Community Building / Creation of an interactive Galaxy tools table for your community ✍️ 🧐
- Galaxy Community Building / What's a Special Interest Group? 🧐
- Galaxy Community Building / Creating a Special Interest Group 🧐
- Metabolomics / Mass spectrometry imaging: Finding differential analytes 🧐
- Metabolomics / Mass spectrometry imaging: Examining the spatial distribution of analytes 🧐
Slides
- Development in Galaxy / Galaxy from a developer point of view ✍️ 🧐
- Microbiome / Introduction to Microbiome Analysis ✍️ 🧐
- Using Galaxy and Managing your Data / Getting data into Galaxy 🧐
- Galaxy Server administration / Advanced customisation of a Galaxy instance 🧐
- Galaxy Server administration / User, Role, Group, Quota, and Authentication managment 🧐
- Galaxy Server administration / Galaxy from an administrator's point of view 🧐
- Galaxy Server administration / Connecting Galaxy to a compute cluster 🧐
- Galaxy Server administration / Docker and Galaxy ✍️ 🧐
- Galaxy Server administration / Server: Other 🧐
- Visualisation / Visualisations in Galaxy 🧐
- Assembly / De Bruijn Graph Assembly 🧐
- Assembly / An Introduction to Genome Assembly 🧐
- Assembly / Unicycler Assembly 🧐
- Climate / Functionally Assembled Terrestrial Ecosystem Simulator (FATES) 🧐
- Climate / Introduction to climate data 🧐
- Sequence analysis / Mapping 🧐
- Sequence analysis / Quality Control ✍️ 🧐
- Epigenetics / EWAS Epigenome-Wide Association Studies Introduction 🧐
- Epigenetics / Introduction to DNA Methylation data analysis 🧐
- Epigenetics / ChIP-seq data analysis ✍️ 🧐
- Epigenetics / Introduction to ChIP-Seq data analysis ✍️ 🧐
- Proteomics / Introduction to proteomics, protein identification, quantification and statistical modelling 🧐
- Contributing to the Galaxy Training Material / Contributing with GitHub via command-line ✍️ 🧐
- Contributing to the Galaxy Training Material / Creating Slides ✍️ 🧐
- Contributing to the Galaxy Training Material / Overview of the Galaxy Training Material ✍️ 🧐
- Foundations of Data Science / Bioinformatics Data Types and Databases 🧐
- Transcriptomics / Visualization of RNA-Seq results with CummeRbund 🧐
- Transcriptomics / Introduction to Transcriptomics ✍️ 🧐
- Variant Analysis / Introduction to Variant analysis ✍️ 🧐
- Genome Annotation / Genome annotation with Prokka 🧐
- Genome Annotation / Introduction to Genome Annotation 🧐
- Genome Annotation / Essential genes detection with Transposon insertion sequencing 🧐
- Development in Galaxy / Scripting Galaxy using the API and BioBlend 🧐
- Development in Galaxy / Galaxy Interactive Tours ✍️ 🧐
- Development in Galaxy / Tool Shed: sharing Galaxy tools ✍️ 🧐
- Development in Galaxy / Visualizations: JavaScript Plugins 🧐
- Development in Galaxy / Generic plugins 🧐
- Development in Galaxy / Tool Dependencies and Containers 🧐
- Development in Galaxy / Tool Dependencies and Conda 🧐
- Development in Galaxy / Galaxy Interactive Environments 🧐
- Development in Galaxy / Tool development and integration into Galaxy ✍️ 🧐
- Development in Galaxy / Galaxy Webhooks 🧐
- Development in Galaxy / Prerequisites for building software/conda packages 🧐
- Development in Galaxy / Galaxy Code Architecture 🧐
- Introduction to Galaxy Analyses / A Short Introduction to Galaxy 🧐
- Introduction to Galaxy Analyses / Options for using Galaxy 🧐
- Introduction to Galaxy Analyses / Introduction to Galaxy ✍️ 🧐
- Metabolomics / Introduction to Metabolomics 🧐
FAQs
- How do I add my community to the Galaxy CoDex?
- Thanks!
- How can I get started with contributing?
- Adding a tag
- Changing the datatype
- Creating a new file
- Detecting the datatype (file format)
- Importing data from a data library
- Importing data from remote files
- Importing via links
- Renaming a dataset
- Upload few files (1-10)
- Upload many files (>10) via FTP
- The tutorial uses the normalised count table for visualisation. What about using VST normalised counts or rlog normalised counts?
- FASTQ format
- What is Galaxy?
- What is this website?
- How can I advertise the training materials on my posters?
- What audiences are the tutorials for?
- How can I cite the GTN?
- How is the content licensed?
- Sustainability of the training-material and metadata
- What are the tutorials for?
- Copy a dataset between histories
- Créer un nouvel history
- Creating a new history
- Importing a history
- Renaming a history
- When is the "infer experiment" tool used in practice?
- What are the best practices for teaching with Galaxy?
- What Galaxy instance should I use for my training?
- How do I get help?
- Where do I start?
- Launch RStudio
- Kraken2 and the k-mer approach for taxonomy classification
- How can I get help?
- Where do I start?
- Where can I run the hands-on tutorials?
- How do I use this material?
- Getting your API key
- Quality Scores
- Is it possible to visualize the RNA STAR bam file using the JBrowse tool?
- In 'infer experiments' I get unequal numbers, but in the IGV it looks like it is unstranded. What does this mean?
- What is Taxonomy?
- Selecting a dataset collection as input
- Select multiple datasets
- Add genome and annotations to IGV from Galaxy
- Add Mapped reads track to IGV from Galaxy
- Annotate a workflow
- Importing a workflow using the search
- Make a workflow public
Video Recordings
- Microbiome / Taxonomic Profiling and Visualization of Metagenomic Data 🗣
- Microbiome / Assembly of metagenomic sequencing data 💬 🗣
- Microbiome / Antibiotic resistance detection 💬
- Microbiome / Identification of the micro-organisms in a beer using Nanopore sequencing 🗣
- Sequence analysis / Quality Control 💬
- Contributing to the Galaxy Training Material / Creating a new tutorial 🗣
- Transcriptomics / Reference-based RNA-Seq data analysis 🗣
- Genome Annotation / Bacterial Genome Annotation 💬 🗣
Events
GitHub Activity
github Issues Reported
297 Merged Pull Requests
See all of the github Pull Requests and github Commits by Bérénice Batut.
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[Community Tool Table Generation] Update the process to curate TS filtered community tool table
dev
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Add metaproteomics to GTA microbiome track
template-and-tools
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Fix link to microbiome track
template-and-tools
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[GTA] Rename microbiome track file and restructure the section
template-and-tools
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Galaxy Training Academy: Update bacterial genomics track
template-and-tools
Reviewed 384 PRs
We love our community reviewing each other's work!
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Tutorial on updating tutorials
template-and-toolscontributing
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Update biotools
dev
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Update tutorial.md
dev
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Add metaproteomics per request
proteomicsmicrobiome
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broken box
data-science
News
Author(s) | Saskia Hiltemann Helena Rasche Bérénice Batut |
Snippets have received an major overhaul! Snippets/FAQs are small reusable bits of training, often answering a single question. In addition to the general Galaxy snippets, we now also support topic-level and tutorial-level FAQs. This will allow contributors to add common questions and answers to their tutorials, which not only can be included in the tutorial text itself, but are also used to autogenerate an FAQ page for the tutorial or topic listing all common questions (and answers).This will be useful both to participants following tutorials via self-study, and also to instructors preparing for a training event.
Full StoryAuthor(s) | Bérénice Batut Wolfgang Maier |
Effectively monitoring global infectious disease crises, such as the COVID-19 pandemic, requires capacity to generate and analyze large volumes of sequencing data in near real time. These data have proven essential for monitoring the emergence and spread of new variants, and for understanding the evolutionary dynamics of the virus.
Full StoryAuthor(s) | Bérénice Batut |
As you have probably already seen, a feedback form is embedded on the bottom of each tutorial.
Full StoryAuthor(s) | Bérénice Batut |
Do you use Galaxy for Training? Have your say! Please take a few minutes to let us know about your training experiences.
Full StoryAs part of our work under the Gallantries Grant we are establishing a new topic within the GTN specifically focused on Data Science skills. This topic will include tutorials covering things such as:
Full StoryAuthor(s) | Bérénice Batut Saskia Hiltemann Helena Rasche |
Our new paper about the Galaxy Training Network has been published this week in Plos Computational Biology: “Galaxy Training: A powerful framework for teaching!”
Full StoryAuthor(s) | Bérénice Batut Engy Nasr |
Food contamination with pathogens are a major burden on our society. Globally, they affect an estimated 600 million people a year and impact socioeconomic development at different levels. These outbreaks are mainly due to Salmonella spp. followed by Campylobacter spp. and Noroviruses.
Full StoryAuthor(s) | Helena Rasche Bérénice Batut |
Infrastructure | Helena Rasche |
We know the GTN has a lot of learning materials (400 and counting!) which can make it quite difficult to figure out where to start in some topics.
Full StoryAuthor(s) | Helena Rasche |
Infrastructure | Saskia Hiltemann Helena Rasche Bérénice Batut |
We are happy to report that over the years of our fruitful collaboration with ELIXIR TeSS, all GTN materials should receive a perfect score on the FAIR-Checker.
Full StoryAuthor(s) | Bérénice Batut Helena Rasche Saskia Hiltemann |
The Galaxy Training Network (GTN) has reached an exciting milestone: our 400th tutorial! This achievement is a testament to the dedication and hard work of our community of educators, researchers, and developers over the last 9 years.
Full StoryAuthor(s) | Bérénice Batut |
The GTN hosts its 400th tutorial: Building an amplicon sequence variant (ASV) table from 16S data using DADA2
Full StoryAuthor(s) | Saskia Hiltemann Helena Rasche |
Infrastructure | Saskia Hiltemann Helena Rasche Bérénice Batut |
We recently presented the GTN at the 2024 Galaxy Community Conference. This presentation was a summary of the updates and new features that were added to the GTN in the past year.
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