Helena Rasche
Affiliations
Former 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.
11 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.
- Topic: Galaxy Server administration
- Topic: Foundations of Data Science
- Topic: Genome Annotation
- Topic: GMOD
- Topic: Visualisation
- Learning Pathway: Admin Training Course
- Learning Pathway: Gallantries Grant - Intellectual Output 1 - Introduction to data analysis and -management, statistics, and coding
- Learning Pathway: Gallantries Grant - Intellectual Output 2 - Large-scale data analysis, and introduction to visualisation and data modelling
- Learning Pathway: Gallantries Grant - Intellectual Output 3 - Data stewardship, federation, standardisation, and collaboration
- Learning Pathway: Introductory Python
- Learning Pathway: Introductory SQL
541 Tutorials
- Synthetic Biology / Designing plasmids encoding predicted pathways by using the BASIC assembly method 🧐
- Synthetic Biology / Evaluating and ranking a set of pathways based on multiple metrics 🧐
- Imaging / Object tracking using CellProfiler 🧐
- Imaging / Nucleoli segmentation and feature extraction using CellProfiler 🧐
- Imaging / Tracking of mitochondria and capturing mitoflashes 🧐
- Imaging / Introduction to Image Analysis using Galaxy 🧐
- Imaging / End-to-End Tissue Microarray Image Analysis with Galaxy-ME 🧐
- Imaging / Analyse HeLa fluorescence siRNA screen 🧐
- Visualisation / Visualisation with Circos ✍️ 🧐
- Visualisation / Ploting a Microbial Genome with Circos ✍️
- Visualisation / Genomic Data Visualisation with JBrowse ✍️ 🧐
- Metabolomics / Mass spectrometry imaging: Examining the spatial distribution of analytes 🧐
- Metabolomics / Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms) 📝 🧐
- Metabolomics / Mass spectrometry: LC-MS preprocessing with XCMS 🧐
- Metabolomics / Mass spectrometry: LC-MS analysis 🧐
- Metabolomics / Mass spectrometry: LC-MS data processing 🧐
- Statistics and machine learning / Image classification in Galaxy with fruit 360 dataset 🧐
- Statistics and machine learning / Deep Learning (Part 3) - Convolutional neural networks (CNN) 🧐
- Statistics and machine learning / PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis 🧐
- Statistics and machine learning / Text-mining with the SimText toolset 🧐
- Statistics and machine learning / Supervised Learning with Hyperdimensional Computing 🧐
- Statistics and machine learning / Machine learning: classification and regression 🧐
- Statistics and machine learning / A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy 🧐
- Statistics and machine learning / Introduction to Machine Learning using R 🧐
- Statistics and machine learning / Fine tune large protein model (ProtTrans) using HuggingFace 🧐
- Statistics and machine learning / Classification in Machine Learning 🧐
- Statistics and machine learning / Regression in Machine Learning 🧐
- Statistics and machine learning / Basics of machine learning 🧐
- Statistics and machine learning / Interval-Wise Testing for omics data 🧐
- Statistics and machine learning / Deep Learning (Part 1) - Feedforward neural networks (FNN) 🧐
- Statistics and machine learning / Deep Learning (Part 2) - Recurrent neural networks (RNN) 🧐
- Single Cell / Bulk matrix to ESet | Creating the bulk RNA-seq dataset for deconvolution 🧐
- Single Cell / Matrix Exchange Format to ESet | Creating a single-cell RNA-seq reference dataset for deconvolution 🧐
- Single Cell / Analysis of plant scRNA-Seq Data with Scanpy 🧐
- Single Cell / Filter, plot, and explore single cell RNA-seq data with Seurat 📝 🧐
- Single Cell / Understanding Barcodes 🧐
- Single Cell / Bulk RNA Deconvolution with MuSiC 🧐
- Single Cell / Filter, plot and explore single-cell RNA-seq data with Scanpy (Python) 🧐
- Single Cell / Filter, plot, and explore single cell RNA-seq data with Seurat (R) 📝 🧐
- Single Cell / Filter, plot and explore single-cell RNA-seq data with Scanpy 📝 🧐
- Single Cell / Removing the effects of the cell cycle 🧐
- Single Cell / Inferring single cell trajectories with Scanpy (Python) 📝 🧐
- Single Cell / Inferring single cell trajectories with Monocle3 📝 🧐
- Single Cell / Comparing inferred cell compositions using MuSiC deconvolution 🧐
- Single Cell / Inferring single cell trajectories with Scanpy 📝 🧐
- Single Cell / Inferring single cell trajectories with Monocle3 (R) 📝 🧐
- Single Cell / Converting between common single cell data formats 📝 🧐
- Single Cell / Generating a single cell matrix using Alevin 📝 🧐
- Single Cell / Single-cell quality control with scater 🧐
- Single Cell / GO Enrichment Analysis on Single-Cell RNA-Seq Data 🧐
- Single Cell / Pre-processing of Single-Cell RNA Data 🧐
- Single Cell / Combining single cell datasets after pre-processing 📝 🧐
- Single Cell / Pre-processing of 10X Single-Cell ATAC-seq Datasets 🧐
- Single Cell / Importing files from public atlases 🧐
- Single Cell / Generating a single cell matrix using Alevin and combining datasets (bash + R) 🧐
- Single Cell / Clustering 3K PBMCs with Scanpy 🧐
- Single Cell / Converting NCBI Data to the AnnData Format 📝 🧐
- Single Cell / Pre-processing of 10X Single-Cell RNA Datasets 🧐
- Single Cell / Downstream Single-cell RNA analysis with RaceID 🧐
- Single Cell / Scanpy Parameter Iterator 🧐
- Digital Humanities / Text-Mining Differences in Chinese Newspaper Articles 🧐
- Variant Analysis / Pox virus genome analysis from tiled-amplicon sequencing data 🧐
- Variant Analysis / Mapping and molecular identification of phenotype-causing mutations 🧐
- Variant Analysis / Calling variants in diploid systems 🧐
- Variant Analysis / From NCBI's Sequence Read Archive (SRA) to Galaxy: SARS-CoV-2 variant analysis 🧐
- Variant Analysis / Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data 🧐
- Variant Analysis / Microbial Variant Calling 🧐
- Variant Analysis / Calling very rare variants 🧐
- Variant Analysis / Trio Analysis using Synthetic Datasets from RD-Connect GPAP ✍️ 🧐
- Variant Analysis / Exome sequencing data analysis for diagnosing a genetic disease 🧐
- Variant Analysis / Avian influenza viral strain analysis from gene segment sequencing data 🧐
- Variant Analysis / Somatic Variant Discovery from WES Data Using Control-FREEC 🧐
- Variant Analysis / M. tuberculosis Variant Analysis 🧐
- Variant Analysis / Identification of somatic and germline variants from tumor and normal sample pairs 🧐
- Variant Analysis / Calling variants in non-diploid systems 🧐
- Proteomics / Secretome Prediction 🧐
- Proteomics / Metaproteomics tutorial 🧐
- Proteomics / Clinical Metaproteomics 5: Data Interpretation 🧐
- Proteomics / MaxQuant and MSstats for the analysis of TMT data 🧐
- Proteomics / Peptide Library Data Analysis 🧐
- Proteomics / Proteogenomics 2: Database Search 🧐
- Proteomics / Proteogenomics 1: Database Creation 🧐
- Proteomics / Detection and quantitation of N-termini (degradomics) via N-TAILS 🧐
- Proteomics / Peptide and Protein Quantification via Stable Isotope Labelling (SIL) 🧐
- Proteomics / Clinical Metaproteomics 3: Verification 🧐
- Proteomics / Peptide and Protein ID using SearchGUI and PeptideShaker 🧐
- Proteomics / MaxQuant and MSstats for the analysis of label-free data 🧐
- Proteomics / metaQuantome 1: Data creation 🧐
- Proteomics / Mass spectrometry imaging: Loading and exploring MSI data 🧐
- Proteomics / Label-free versus Labelled - How to Choose Your Quantitation Method 🧐
- Proteomics / Proteogenomics 3: Novel peptide analysis 🧐
- Proteomics / Clinical Metaproteomics 4: Quantitation 🧐
- Proteomics / EncyclopeDIA 🧐
- Proteomics / Clinical Metaproteomics 1: Database-Generation 🧐
- Proteomics / Machine Learning Modeling of Anticancer Peptides 🧐
- Proteomics / Peptide and Protein ID using OpenMS tools 🧐
- Proteomics / Clinical Metaproteomics 2: Discovery 🧐
- Proteomics / Protein FASTA Database Handling 🧐
- Introduction to Galaxy Analyses / IGV Introduction 🧐
- Introduction to Galaxy Analyses / Data Manipulation Olympics 📝 🧐
- Introduction to Galaxy Analyses / How to reproduce published Galaxy analyses 🧐
- Introduction to Galaxy Analyses / Introduction to Genomics and Galaxy 🧐
- Introduction to Galaxy Analyses / Best Practices for Citing Galaxy 🧐
- Introduction to Galaxy Analyses / Upload data to Galaxy 🧐
- Introduction to Galaxy Analyses / Galaxy Basics for genomics ✍️ 🧐
- Introduction to Galaxy Analyses / Very Short Introductions: QC 🧐
- Introduction to Galaxy Analyses / A short introduction to Galaxy 🧐
- Introduction to Galaxy Analyses / From peaks to genes ✍️ 🧐
- Introduction to Galaxy Analyses / Galaxy Basics for everyone 🧐
- Introduction to Galaxy Analyses / NGS data logistics 🧐
- Microbiome / Analyses of metagenomics data - The global picture 🧐
- Microbiome / Identifying Mycorrhizal Fungi from ITS2 sequencing using LotuS2 🧐
- Microbiome / Assembly of metagenomic sequencing data 🧐
- Microbiome / Binning of metagenomic sequencing data 🧐
- Microbiome / Metatranscriptomics analysis using microbiome RNA-seq data 🧐
- Microbiome / 16S Microbial Analysis with mothur (short) 🧐
- Microbiome / Taxonomic Profiling and Visualization of Metagenomic Data 🧐
- Microbiome / 16S Microbial Analysis with mothur (extended) 🧐
- Microbiome / Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition 🧐
- Microbiome / Building an amplicon sequence variant (ASV) table from 16S data using DADA2 🧐
- Microbiome / Identification of the micro-organisms in a beer using Nanopore sequencing 🧐
- Microbiome / Antibiotic resistance detection 🧐
- Microbiome / Metatranscriptomics analysis using microbiome RNA-seq data (short) 🧐
- Climate / Getting your hands-on earth data 🧐
- Climate / Sentinel 5P data visualisation 🧐
- Climate / Functionally Assembled Terrestrial Ecosystem Simulator (FATES) 🧐
- Climate / Getting your hands-on climate data 🧐
- Climate / Ocean Data View (ODV) 🧐
- Climate / Ocean's variables study 🧐
- Climate / Visualize Climate data with Panoply netCDF viewer 🧐
- Climate / Functionally Assembled Terrestrial Ecosystem Simulator (FATES) with Galaxy Climate JupyterLab 🧐
- Climate / Analyse Argo data 🧐
- Climate / Pangeo Notebook in Galaxy - Introduction to Xarray 🧐
- Climate / Pangeo ecosystem 101 for everyone - Introduction to Xarray Galaxy Tools 🧐
- Galaxy Community Building / Creating a Special Interest Group 🧐
- Galaxy Community Building / Creating community content 🧐
- Galaxy Community Building / What's a Special Interest Group? 🧐
- Galaxy Community Building / Creation of resources listing all the tools and their metadata relevant to your community 🧐
- Galaxy Community Building / Make your tools available on your subdomain 🧐
- Using Galaxy and Managing your Data / JupyterLab in Galaxy 📝 🧐
- Using Galaxy and Managing your Data / InterMine integration with Galaxy 🧐
- Using Galaxy and Managing your Data / Rule Based Uploader ✍️ 🧐
- Using Galaxy and Managing your Data / Extracting Workflows from Histories 🧐
- Using Galaxy and Managing your Data / Searching Your History ✍️ 🧐
- Using Galaxy and Managing your Data / Using Workflow Parameters ✍️ 🧐
- Using Galaxy and Managing your Data / Understanding Galaxy history system 📝 🧐
- Using Galaxy and Managing your Data / Downloading and Deleting Data in Galaxy ✍️ 🧐
- Using Galaxy and Managing your Data / Group tags for complex experimental designs 🧐
- Using Galaxy and Managing your Data / Automating Galaxy workflows using the command line 🧐
- Using Galaxy and Managing your Data / Creating high resolution images of Galaxy Workflows 📝 🧐
- 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 / Rule Based Uploader: Advanced ✍️ 🧐
- Using Galaxy and Managing your Data / Submitting sequence data to ENA 🧐
- Using Galaxy and Managing your Data / Workflow Reports ⚙️ 🧐
- Using Galaxy and Managing your Data / Creating, Editing and Importing Galaxy Workflows 🧐
- Using Galaxy and Managing your Data / SRA Aligned Read Format to Speed Up SARS-CoV-2 data Analysis 🧐
- Using Galaxy and Managing your Data / Using dataset collections 🧐
- Galaxy Server administration / Alternative Celery Deployment for Galaxy ✍️
- Galaxy Server administration / Connecting Galaxy to a compute cluster ✍️ 🧐
- Galaxy Server administration / Create a subdomain for your community on UseGalaxy.eu 🧐
- Galaxy Server administration / External Authentication ✍️ 🧐
- Galaxy Server administration / Reference Data with CVMFS ✍️ 🧐
- Galaxy Server administration / Setting up Celery Workers for Galaxy 📝 🧐
- Galaxy Server administration / Reference Data with CVMFS without Ansible ✍️ 🧐
- Galaxy Server administration / Running Jobs on Remote Resources with Pulsar ✍️ 🧐
- Galaxy Server administration / Monitoring Galaxy and Pulsar with Sentry 📝 🧐
- Galaxy Server administration / Galaxy Monitoring with Reports ✍️ 🧐
- Galaxy Server administration / Galaxy Installation on Kubernetes 🧐
- Galaxy Server administration / Deploying a compute cluster in OpenStack via Terraform ✍️ 🧐
- Galaxy Server administration / Managing Galaxy on Kubernetes 🧐
- Galaxy Server administration / Server Maintenance: Cleanup, Backup, and Restoration ✍️ 🧐
- Galaxy Server administration / Pulsar usage on SURF Research Cloud ✍️ 🧐
- Galaxy Server administration / Deploying Wireguard for private mesh networking ✍️ 🧐
- Galaxy Server administration / Ansible ✍️ 🧐
- Galaxy Server administration / Training Infrastructure as a Service (TIaaS) ✍️ 🧐
- Galaxy Server administration / Reference Data with Data Managers 📝 🧐
- Galaxy Server administration / Galaxy Database schema 🧐
- Galaxy Server administration / Distributed Object Storage ✍️ 🧐
- Galaxy Server administration / Customizing the look of Galaxy (Manual) 📝 🧐
- Galaxy Server administration / Use Apptainer containers for running Galaxy jobs ✍️ 🧐
- Galaxy Server administration / Galaxy usage on SURF Research Cloud ✍️ 🧐
- Galaxy Server administration / Upgrading Galaxy 🧐
- Galaxy Server administration / Data Libraries ✍️ 🧐
- Galaxy Server administration / Galaxy Monitoring with gxadmin ✍️ 🧐
- Galaxy Server administration / Enable upload via FTP 🧐
- Galaxy Server administration / Performant Uploads with TUS ✍️ 🧐
- Galaxy Server administration / Galaxy Installation with Ansible ✍️ 🧐
- Galaxy Server administration / How I learned to stop worrying and love the systemd ✍️
- Galaxy Server administration / Galaxy Interactive Tools ✍️ 🧐
- Galaxy Server administration / Automation with Jenkins ✍️ 🧐
- Galaxy Server administration / Mapping Jobs to Destinations using TPV 📝 🧐
- Galaxy Server administration / Deploying a Beacon v1 in Galaxy ✍️ 🧐
- Galaxy Server administration / Customizing the look of Galaxy 📝 🧐
- Galaxy Server administration / Galaxy Tool Management with Ephemeris ✍️ 🧐
- Galaxy Server administration / Galaxy Monitoring with Telegraf and Grafana ✍️ 🧐
- Galaxy Server administration / Deploying Tailscale/Headscale for private mesh networking ✍️ 🧐
- Computational chemistry / High Throughput Molecular Dynamics and Analysis 🧐
- Computational chemistry / Analysis of molecular dynamics simulations 🧐
- Computational chemistry / Setting up molecular systems 🧐
- Computational chemistry / Running molecular dynamics simulations using NAMD 🧐
- Computational chemistry / Protein-ligand docking 🧐
- Computational chemistry / Running molecular dynamics simulations using GROMACS 🧐
- Computational chemistry / Protein target prediction of a bioactive ligand with Align-it and ePharmaLib 🧐
- Computational chemistry / Virtual screening of the SARS-CoV-2 main protease with rxDock and pose scoring 🧐
- Computational chemistry / Data management in Medicinal Chemistry 🧐
- Epigenetics / Infinium Human Methylation BeadChip 🧐
- Epigenetics / Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1) 🧐
- Epigenetics / Identification of the binding sites of the Estrogen receptor 🧐
- Epigenetics / DNA Methylation data analysis 🧐
- Epigenetics / Formation of the Super-Structures on the Inactive X 📝 🧐
- Epigenetics / ATAC-Seq data analysis 🧐
- Epigenetics / CUT&RUN data analysis 📝 🧐
- Epigenetics / Hi-C analysis of Drosophila melanogaster cells using HiCExplorer 🧐
- Genome Annotation / Comparative gene analysis in unannotated genomes 🧐
- Genome Annotation / Refining Genome Annotations with Apollo (eukaryotes) 🧐
- Genome Annotation / Refining Genome Annotations with Apollo (prokaryotes) ✍️ 🧐
- Genome Annotation / Long non-coding RNAs (lncRNAs) annotation with FEELnc 🧐
- Genome Annotation / Masking repeats with RepeatMasker 🧐
- Genome Annotation / Genome annotation with Funannotate 🧐
- Genome Annotation / Essential genes detection with Transposon insertion sequencing 🧐
- Genome Annotation / Genome Annotation 🧐
- Genome Annotation / CRISPR screen analysis 🧐
- Genome Annotation / Creating an Official Gene Set 🧐
- Genome Annotation / Genome annotation with Maker 🧐
- Genome Annotation / Genome annotation with Helixer 🧐
- Genome Annotation / Functional annotation of protein sequences 🧐
- Genome Annotation / Genome annotation with Maker (short) 🧐
- Genome Annotation / Identification of AMR genes in an assembled bacterial genome 📝 🧐
- Genome Annotation / From small to large-scale genome comparison 🧐
- Genome Annotation / Genome annotation with Prokka 🧐
- Genome Annotation / Bacterial Genome Annotation 🧐
- Foundations of Data Science / Python - Subprocess ✍️ 🧐
- Foundations of Data Science / Advanced Python 🧐
- Foundations of Data Science / Version Control with Git 📝 🧐
- Foundations of Data Science / Python - Lists & Strings & Dictionaries ✍️ 🧐
- Foundations of Data Science / Introduction to sequencing with Python (part one) 🧐
- Foundations of Data Science / Data visualisation Olympics - Visualization in R 📝
- Foundations of Data Science / Python - Math ✍️ 🧐
- Foundations of Data Science / Python - Loops ✍️ 🧐
- Foundations of Data Science / Python - Globbing ✍️ 🧐
- Foundations of Data Science / dplyr & tidyverse for data processing ✍️ 🧐
- Foundations of Data Science / Variant Calling Workflow ✍️ 🧐
- Foundations of Data Science / Python - Try & Except ✍️ 🧐
- Foundations of Data Science / SQL Educational Game - Murder Mystery ✍️ 🧐
- Foundations of Data Science / A (very) brief history of genomics 🧐
- Foundations of Data Science / Virtual Environments For Software Development ✍️ 🧐
- Foundations of Data Science / Python - Testing ✍️ 🧐
- Foundations of Data Science / Plotting in Python 🧐
- Foundations of Data Science / Python - Coding Style 📝
- Foundations of Data Science / R basics in Galaxy 🧐
- Foundations of Data Science / Advanced SQL ✍️ 🧐
- Foundations of Data Science / Python - Basic Types & Type Conversion ✍️ 🧐
- Foundations of Data Science / Conda Environments For Software Development ✍️ 🧐
- Foundations of Data Science / Python - Argparse ✍️ 🧐
- Foundations of Data Science / Python - Multiprocessing ✍️ 🧐
- Foundations of Data Science / SQL with Python ✍️ 🧐
- Foundations of Data Science / CLI basics ✍️ 🧐
- Foundations of Data Science / Python - Introductory Graduation ✍️ 🧐
- Foundations of Data Science / Python - Type annotations ✍️ 🧐
- Foundations of Data Science / Python - Functions ✍️ 🧐
- Foundations of Data Science / Python - Flow Control ✍️ 🧐
- Foundations of Data Science / Make & Snakemake ✍️ 🧐
- Foundations of Data Science / CLI Educational Game - Bashcrawl ✍️ 🧐
- Foundations of Data Science / Data Manipulation Olympics - SQL ✍️
- Foundations of Data Science / SQL with R ✍️ 🧐
- Foundations of Data Science / Data Manipulation Olympics - JQ ✍️
- Foundations of Data Science / Python - Files & CSV ✍️ 🧐
- Foundations of Data Science / Introduction to SQL ✍️ 🧐
- Foundations of Data Science / Introduction to Python 🧐
- Foundations of Data Science / Advanced CLI in Galaxy ✍️ 🧐
- Foundations of Data Science / Advanced R in Galaxy 🧐
- Foundations of Data Science / Basics of using Git from the Command Line ✍️ 🧐
- Materials Science / Finding the muon stopping site with pymuon-suite in Galaxy 🧐
- Development in Galaxy / Galaxy Webhooks 🧐
- Development in Galaxy / Adding and updating best practice metadata for Galaxy tools using the bio.tools registry 🧐
- Development in Galaxy / Writing Automated Tests for Galaxy 🧐
- Development in Galaxy / Contributing to BioBlend as a developer 🧐
- Development in Galaxy / Debugging Galaxy 🧐
- Development in Galaxy / Data source integration ✍️ 🧐
- Development in Galaxy / JavaScript plugins 🧐
- Development in Galaxy / Scripting Galaxy using the API and BioBlend 📝 🧐
- Development in Galaxy / ToolFactory: Generating Tools From More Complex Scripts 🧐
- Development in Galaxy / Contributing a New Feature to Galaxy Core 🧐
- Development in Galaxy / ToolFactory: Generating Tools From Simple Scripts ✍️ 🧐
- Development in Galaxy / Creating Galaxy tools from Conda Through Deployment 🧐
- Development in Galaxy / Galaxy Interactive Tools ✍️ 🧐
- Development in Galaxy / Generic plugins 🧐
- Ecology / Cleaning GBIF data for the use in Ecology 🧐
- Ecology / RAD-Seq de-novo data analysis 🧐
- Ecology / Visualization of Climate Data using NetCDF xarray Map Plotting 🧐
- Ecology / QGIS Web Feature Services 🧐
- Ecology / Biodiversity data exploration 🧐
- Ecology / Champs blocs indicators 🧐
- Ecology / Creating metadata using Ecological Metadata Language (EML) standard with EML Assembly Line functionalities 📝 🧐
- Ecology / Species distribution modeling 🧐
- Ecology / Preparing genomic data for phylogeny reconstruction 🧐
- Ecology / Obis marine indicators 🧐
- Ecology / RAD-Seq Reference-based data analysis 🧐
- Ecology / Compute and analyze biodiversity metrics with PAMPA toolsuite 🧐
- Ecology / Regional GAM 🧐
- Ecology / Checking expected species and contamination in bacterial isolate 🧐
- Ecology / Metabarcoding/eDNA through Obitools 🧐
- Ecology / Sentinel 2 biodiversity 🧐
- Ecology / Creating FAIR Quality assessment reports and draft of Data Papers from EML metadata with MetaShRIMPS 📝 🧐
- Ecology / Ecoregionalization workflow tutorial 🧐
- Ecology / From NDVI data with OpenEO to time series visualisation with Holoviews 🧐
- Ecology / Visualize EBV cube data with Panoply netCDF viewer 🧐
- Ecology / RAD-Seq to construct genetic maps 🧐
- Contributing to the Galaxy Training Material / Single Cell Publication - Data Analysis ✍️
- Contributing to the Galaxy Training Material / Creating a new tutorial ✍️ 🧐
- Contributing to the Galaxy Training Material / Contributing with GitHub via its interface 🧐
- Contributing to the Galaxy Training Material / Creating content in Markdown ✍️ 🧐
- Contributing to the Galaxy Training Material / GTN Metadata ✍️ 🧐
- Contributing to the Galaxy Training Material / Single Cell Publication - Data Plotting ✍️
- Contributing to the Galaxy Training Material / Design and plan session, course, materials 🧐
- Contributing to the Galaxy Training Material / Updating diffs in admin training ✍️ 🧐
- Contributing to the Galaxy Training Material / Adding auto-generated video to your slides ✍️ 🧐
- Contributing to the Galaxy Training Material / Generating PDF artefacts of the website 🧐
- Contributing to the Galaxy Training Material / Contributing to the Galaxy Training Network with GitHub 🧐
- Contributing to the Galaxy Training Material / Teaching Python ✍️ 🧐
- Contributing to the Galaxy Training Material / Tools, Data, and Workflows for tutorials ✍️ 🧐
- Contributing to the Galaxy Training Material / Creating Interactive Galaxy Tours 🧐
- Contributing to the Galaxy Training Material / Adding Quizzes to your Tutorial ✍️
- Contributing to the Galaxy Training Material / Principles of learning and how they apply to training and teaching 🧐
- Contributing to the Galaxy Training Material / Including a new topic 📝 🧐
- Contributing to the Galaxy Training Material / FAIR-by-Design methodology 🧐
- FAIR Data, Workflows, and Research / FAIR data management solutions 📝 🧐
- FAIR Data, Workflows, and Research / Persistent Identifiers 🧐
- FAIR Data, Workflows, and Research / REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data 🧐
- FAIR Data, Workflows, and Research / Introduction to Data Management Plan (DMP) for Peatland Research and PeatDataHub 📝 🧐
- FAIR Data, Workflows, and Research / FAIR in a nutshell 📝 🧐
- FAIR Data, Workflows, and Research / Making clinical datasets FAIR 🧐
- FAIR Data, Workflows, and Research / Submitting workflows to LifeMonitor 📝 🧐
- FAIR Data, Workflows, and Research / Metadata 🧐
- FAIR Data, Workflows, and Research / RO-Crate - Introduction 🧐
- FAIR Data, Workflows, and Research / Integrating InvenioRDM-compatible Repositories with Galaxy 🧐
- FAIR Data, Workflows, and Research / FAIR Galaxy Training Material 📝 🧐
- FAIR Data, Workflows, and Research / FAIR and its Origins 🧐
- FAIR Data, Workflows, and Research / Access 🧐
- FAIR Data, Workflows, and Research / Best practices for workflows in GitHub repositories 🧐
- FAIR Data, Workflows, and Research / FAIRification of an RNAseq dataset 🧐
- FAIR Data, Workflows, and Research / Data Registration 🧐
- FAIR Data, Workflows, and Research / RO-Crate in Python 📝 🧐
- FAIR Data, Workflows, and Research / Sequence data submission to ENA 🧐
- FAIR Data, Workflows, and Research / FAIR Bioimage Metadata 🧐
- FAIR Data, Workflows, and Research / Exporting Workflow Run RO-Crates from Galaxy 🧐
- FAIR Data, Workflows, and Research / Uploading Data to Zenodo from Galaxy 🧐
- Assembly / Large genome assembly and polishing 🧐
- Assembly / Hybrid genome assembly - Nanopore and Illumina 🧐
- Assembly / Genome Assembly of MRSA from Oxford Nanopore MinION data (and optionally Illumina data) 📝 🧐
- Assembly / Genome Assembly Quality Control 🧐
- Assembly / Vertebrate genome assembly using HiFi, Bionano and Hi-C data - Step by Step 🧐
- Assembly / Unicycler Assembly 🧐
- Assembly / Unicycler assembly of SARS-CoV-2 genome with preprocessing to remove human genome reads 🧐
- Assembly / Chloroplast genome assembly 🧐
- Assembly / An Introduction to Genome Assembly 🧐
- Assembly / De Bruijn Graph Assembly ✍️ 🧐
- Assembly / Using the VGP workflows to assemble a vertebrate genome with HiFi and Hi-C data 🧐
- Assembly / Genome assembly using PacBio data 🧐
- Assembly / Making sense of a newly assembled genome ✍️ 🧐
- Assembly / Genome Assembly of a bacterial genome (MRSA) sequenced using Illumina MiSeq Data 📝 🧐
- Sequence analysis / Screening assembled genomes for contamination using NCBI FCS 📝 🧐
- Sequence analysis / Mapping ✍️ 🧐
- Sequence analysis / SARS-CoV-2 Viral Sample Alignment and Variant Visualization 🧐
- Sequence analysis / Clean and manage Sanger sequences from raw files to aligned consensus 🧐
- Sequence analysis / Quality Control 🧐
- Sequence analysis / NCBI BLAST+ against the MAdLand 🧐
- Teaching and Hosting Galaxy training / Running a workshop as an instructor ✍️ 🧐
- Teaching and Hosting Galaxy training / Training techniques to enhance learner participation and engagement 🧐
- Teaching and Hosting Galaxy training / Asynchronous training ✍️ 🧐
- Teaching and Hosting Galaxy training / Assessment and feedback in training and teachings 🧐
- Teaching and Hosting Galaxy training / Teaching experiences 🧐
- Teaching and Hosting Galaxy training / Course Builder ✍️ 🧐
- Teaching and Hosting Galaxy training / Training Infrastructure as a Service ✍️ 🧐
- Teaching and Hosting Galaxy training / Organizing a workshop ✍️
- Teaching and Hosting Galaxy training / Motivation and Demotivation 🧐
- Teaching and Hosting Galaxy training / Set up a Galaxy for Training 🧐
- Teaching and Hosting Galaxy training / Galaxy Admin Training ✍️ 🧐
- Transcriptomics / GO Enrichment Analysis 🧐
- Transcriptomics / Whole transcriptome analysis of Arabidopsis thaliana 🧐
- Transcriptomics / Pathway analysis with the MINERVA Platform ✍️ ⚙️ 🧐
- Transcriptomics / CLIP-Seq data analysis from pre-processing to motif detection 🧐
- Transcriptomics / Genome-wide alternative splicing analysis 🧐
- Transcriptomics / Visualization of RNA-Seq results with Volcano Plot 🧐
- Transcriptomics / 2: RNA-seq counts to genes 🧐
- Transcriptomics / Small Non-coding RNA Clustering using BlockClust 🧐
- Transcriptomics / Reference-based RNAseq data analysis (long) 🧐
- Transcriptomics / Visualization of RNA-Seq results with CummeRbund 🧐
- Transcriptomics / 3: RNA-seq genes to pathways 🧐
- Transcriptomics / RNA-seq Alignment with STAR 📝 🧐
- Transcriptomics / Differential abundance testing of small RNAs 🧐
- Transcriptomics / Visualization of RNA-Seq results with heatmap2 🧐
- Transcriptomics / Reference-based RNA-Seq data analysis 📝 🧐
- Transcriptomics / RNA Seq Counts to Viz in R 🧐
- Transcriptomics / De novo transcriptome reconstruction with RNA-Seq 🧐
- Transcriptomics / Network analysis with Heinz 🧐
- Transcriptomics / 1: RNA-Seq reads to counts 🧐
- Transcriptomics / RNA-Seq analysis with AskOmics Interactive Tool 🧐
- Evolution / Tree thinking for tuberculosis evolution and epidemiology 🧐
- Evolution / Identifying tuberculosis transmission links: from SNPs to transmission clusters 🧐
- Introduction to Galaxy Analyses / Von Peaks zu Genen ✍️
- Sequence analysis / Mapping ✍️
- Transcriptomics / Referenzbasierte RNA-Seq-Datenanalyse 📝
- Introduction to Galaxy Analyses / Breve introducción a Galaxy - en español 🧐
- Introduction to Galaxy Analyses / De picos a genes ✍️
- Sequence analysis / Mapeo ✍️
- Transcriptomics / Análisis de datos RNA-Seq basados en referencias 📝
- Ecology / Production d'indicateurs champs de bloc 🧐
- Introduction to Galaxy Analyses / Dai picchi ai geni ✍️
- Sequence analysis / Mappatura ✍️
- Transcriptomics / Analisi dei dati RNA-Seq basata su riferimenti 📝
147 Slides
- Synthetic Biology / Introduction to Synthetic Biology 🧐
- Materials Science / Introduction to Muon Spectroscopy 🧐
- Development in Galaxy / Galaxy from a developer point of view 🧐
- Visualisation / Friends Don't Let Friends Make Bad Graphs 📝
- Visualisation / Circos ✍️ 🧐
- Visualisation / Visualisations in Galaxy ✍️ 🧐
- Visualisation / JBrowse ✍️ 🧐
- Metabolomics / Introduction to Metabolomics 🧐
- Statistics and machine learning / Image classification in Galaxy with fruit 360 dataset 🧐
- Statistics and machine learning / Convolutional neural networks (CNN) Deep Learning - Part 3 🧐
- Statistics and machine learning / Feedforward neural networks (FNN) Deep Learning - Part 1 🧐
- Single Cell / An introduction to scRNA-seq data analysis 🧐
- Single Cell / Trajectory analysis 🧐
- Single Cell / Automated Cell Annotation 🧐
- Single Cell / Dealing with Cross-Contamination in Fixed Barcode Protocols 🧐
- Single Cell / Clustering 3K PBMCs with Scanpy 🧐
- Single Cell / Plates, Batches, and Barcodes 🧐
- Proteomics / Introduction to proteomics, protein identification, quantification and statistical modelling 🧐
- Introduction to Galaxy Analyses / Introduction to Galaxy ✍️ 🧐
- Introduction to Galaxy Analyses / Options for using Galaxy 🧐
- Introduction to Galaxy Analyses / A Short Introduction to Galaxy ✍️ 🧐
- Microbiome / Introduction to metatranscriptomics 🧐
- Microbiome / Introduction to Microbiome Analysis 🧐
- Climate / Functionally Assembled Terrestrial Ecosystem Simulator (FATES) 🧐
- Climate / Introduction to climate data 🧐
- Climate / The Pangeo ecosystem 🧐
- Climate / Pangeo ecosystem 101 for everyone 🧐
- Using Galaxy and Managing your Data / Getting data into Galaxy 🧐
- Using Galaxy and Managing your Data / Galaxy workflows in Dockstore 🧐
- Using Galaxy and Managing your Data / Introduction to SRA Aligned Read Format and Cloud Metadata for SARS-CoV-2 🧐
- Galaxy Server administration / Docker and Galaxy 🧐
- Galaxy Server administration / Connecting Galaxy to a compute cluster ✍️ 🧐
- Galaxy Server administration / External Authentication 🧐
- Galaxy Server administration / Server: Other ✍️ 🧐
- Galaxy Server administration / Reference Data with CVMFS ✍️ 🧐
- Galaxy Server administration / Galaxy and Celery 📝 🧐
- Galaxy Server administration / Galaxy on the Cloud 📝 🧐
- Galaxy Server administration / Galactic Database ✍️ 🧐
- Galaxy Server administration / Running Jobs on Remote Resources with Pulsar ✍️ 🧐
- Galaxy Server administration / Galaxy Administrator Time Burden and Technology Usage 📝 🧐
- Galaxy Server administration / Galaxy from an administrator's point of view ✍️ 🧐
- Galaxy Server administration / Controlling Galaxy with systemd or Supervisor ✍️ 🧐
- Galaxy Server administration / User, Role, Group, Quota, and Authentication managment ✍️ 🧐
- Galaxy Server administration / Terraform ✍️ 🧐
- Galaxy Server administration / Server Maintenance: Cleanup, Backup, and Restoration ✍️ 🧐
- Galaxy Server administration / Ansible ✍️ 🧐
- Galaxy Server administration / Reference Genomes in Galaxy 🧐
- Galaxy Server administration / Gearing towards production 🧐
- Galaxy Server administration / Storage Management ✍️ 🧐
- Galaxy Server administration / Galaxy Troubleshooting 🧐
- Galaxy Server administration / uWSGI 🧐
- Galaxy Server administration / Storage Management ✍️ 🧐
- Galaxy Server administration / Galaxy Monitoring with gxadmin ✍️ 🧐
- Galaxy Server administration / Galaxy Installation with Ansible 📝 🧐
- Galaxy Server administration / Galaxy Monitoring ✍️
- Galaxy Server administration / Galaxy Interactive Tools 🧐
- Galaxy Server administration / Advanced customisation of a Galaxy instance ✍️ 🧐
- Galaxy Server administration / Galaxy Tool Management with Ephemeris ✍️ 🧐
- Galaxy Server administration / Galaxy Monitoring with Telegraf and Grafana ✍️ 🧐
- Galaxy Server administration / Empathy ✍️ 🧐
- Epigenetics / EWAS Epigenome-Wide Association Studies Introduction 🧐
- Epigenetics / Introduction to DNA Methylation data analysis 🧐
- Epigenetics / ChIP-seq data analysis 🧐
- Epigenetics / Introduction to ATAC-Seq data analysis 🧐
- Epigenetics / Introduction to ChIP-Seq data analysis 🧐
- Genome Annotation / Refining Genome Annotations with Apollo ✍️ 🧐
- Genome Annotation / Introduction to Genome Annotation ✍️ 🧐
- Genome Annotation / Introduction to CRISPR screen analysis 🧐
- Genome Annotation / High Performance Computing for Pairwise Genome Comparison 🧐
- Genome Annotation / Genome annotation with Prokka 🧐
- Foundations of Data Science / A brief history of modern biology 🧐
- Development in Galaxy / Galaxy Webhooks 🧐
- Development in Galaxy / Galaxy Interactive Environments ✍️ 🧐
- Development in Galaxy / Tool Shed: sharing Galaxy tools 🧐
- Development in Galaxy / Visualizations: JavaScript Plugins 🧐
- Development in Galaxy / Scripting Galaxy using the API and BioBlend 🧐
- Development in Galaxy / Galaxy Interactive Tours 🧐
- Development in Galaxy / Tool Dependencies and Containers 🧐
- Development in Galaxy / Tool Dependencies and Conda 🧐
- Development in Galaxy / Introduction to the ToolFactory tutorial. 🧐
- Development in Galaxy / Tool development and integration into Galaxy 🧐
- Development in Galaxy / Prerequisites for building software/conda packages 🧐
- Development in Galaxy / Generic plugins 🧐
- Contributing to the Galaxy Training Material / Creating Slides ✍️ 🧐
- Contributing to the Galaxy Training Material / Overview of the Galaxy Training Material 🧐
- Contributing to the Galaxy Training Material / Contributing with GitHub via command-line 🧐
- FAIR Data, Workflows, and Research / Intro to DataPLANT ARCs 🧐
- Assembly / Genome assembly quality control. 🧐
- Assembly / Unicycler Assembly 🧐
- Assembly / Unicycler assembly of SARS-CoV-2 genome with preprocessing to remove human genome reads 🧐
- Assembly / An introduction to get started in genome assembly and annotation 🧐
- Assembly / Deeper look into Genome Assembly algorithms 🧐
- Assembly / An Introduction to Genome Assembly 🧐
- Assembly / De Bruijn Graph Assembly 🧐
- Sequence analysis / Mapping 🧐
- Sequence analysis / Quality Control 🧐
- Teaching and Hosting Galaxy training / Overview of the Galaxy Training Material for Instructors ✍️
- Teaching and Hosting Galaxy training / Workshop Kickoff 🧐
- Transcriptomics / Whole transcriptome analysis of Arabidopsis thaliana 🧐
- Transcriptomics / Identification of non-canonical ORFs and their potential biological function 🧐
- Transcriptomics / Introduction to Transcriptomics 🧐
- Transcriptomics / Visualization of RNA-Seq results with CummeRbund 🧐
- Transcriptomics / Network Analysis with Heinz 🧐
- Transcriptomics / Integrate and query local datasets and distant RDF data with AskOmics using Semantic Web technologies 🧐
- Evolution / Phylogenetics - Back to Basics - Terminology 🧐
- Evolution / Phylogenetics - Back to Basics - Multiple Sequence Alignment 🧐
- Evolution / Phylogenetics - Back to Basics - Phylogenetic Networks 🧐
- Evolution / Phylogenetics - Back to Basics - Introduction 🧐
- Evolution / Phylogenetics - Back to Basics - Building Trees 🧐
- Evolution / Phylogenetics - Back to Basics - Estimating trees from alignments 🧐
- Single Cell / Introducción al análisis de datos de scRNA-seq 🧐
- Introduction to Galaxy Analyses / Una breve introducción a Galaxy ✍️ 🧐
- Single Cell / Una introducción al análisis de datos scRNA-seq 🧐
- Introduction to Galaxy Analyses / Una Breve Introducción a Galaxy ✍️ 🧐
153 FAQs
- How does the GTN ensure accessibility?
- Operating system compatibility
- Beware of Cuts
- Will my jobs keep running?
- What information should I include when reporting a problem?
- Variable connection
- What if you forget `--diff`?
- Error: "skipping: no hosts matched"
- Running Ansible on your remote machine
- What is the difference between the roles with `role:` prefix and without?
- How do I know what I can do with a role? What variables are available?
- How do I see what variables are set for a host?
- Is YAML sensitive to True/true/False/false
- Opening a split screen in byobu
- Can I use a public Galaxy for my private data?
- How does the GTN implement the "Ten simple rules for collaborative lesson development"
- Adding a tag to a collection
- Creare una raccolta di set di dati ✍️
- Crear una colección de conjuntos de datos ✍️
- Erstellen einer Datensatzsammlung ✍️
- Creating a dataset collection
- Creazione di una raccolta accoppiata ✍️
- Creación de una colección emparejada ✍️
- Erstellen einer gepaarten Sammlung ✍️
- Creating a paired collection
- Changing the datatype of a collection
- Renaming a collection
- How do I find the Community Home pages?
- How to Contribute to Galaxy
- Contributing a Jupyter Notebook to the GTN
- How can I contribute in "advanced" mode?
- Customising the welcome page
- Aggiunta di un tag ✍️
- Añadir una etiqueta ✍️
- Hinzufügen eines Tags ✍️
- Adding a tag
- Modifica del tipo di dato ✍️
- Ändern des Datentyps ✍️
- Changing the datatype
- Changing database/build (dbkey)
- Converting the file format
- Creare un nuovo file ✍️
- Creación de un nuevo fichero ✍️
- Erstellen einer neuen Datei ✍️
- Creating a new file
- Detecting the datatype (file format)
- Importare i dati da una libreria di dati ✍️
- Importar datos de una biblioteca de datos ✍️
- Importieren von Daten aus einer Datenbibliothek ✍️
- Importing data from a data library
- Importing data from repositories
- Importazione tramite link ✍️
- Importieren über Links ✍️
- Importing via links
- Rinominare un set di dati ✍️
- Cambiar el nombre de un conjunto de datos ✍️
- Umbenennen eines Datensatzes ✍️
- Renaming a dataset
- How to read a Diff
- How does the GTN ensure our training materials are FAIR?
- Usare la Gestione finestre per visualizzare più insiemi di dati ✍️
- Verwendung des Fenstermanagers zur Anzeige mehrerer Datensätze ✍️
- Using the Window Manager to view multiple datasets
- Flatten a list of list of paired datasets into a list of paired datasets
- How many mules?
- How can I get my container requiring jobs to run in a container?
- Updating from 22.01 to 23.0 with Ansible
- Compatible Versions of Galaxy
- Using Git With Ansible Vaults
- Time to git commit
- Galaxy Admin Training Path
- Forking the GTN repository
- Updating the default branch from master to main
- Syncing your Fork of the GTN
- GTN ADR: Image Storage
- GTN ADR: Why Jekyll and not another Static Site Generator (SSG)
- GTN Architectural Decision Record Template
- What is an Architectural Decision Record (ADR)?
- Slow incremental builds
- Creating a GTN FAQ
- What licenses are used in the GTN?
- GTN Stats
- Adding workflow tests with Planemo
- Copiare un set di dati tra le cronologie ✍️
- Copiar un conjunto de datos entre historiales ✍️
- Kopieren eines Datensatzes zwischen Historien ✍️
- Copy a dataset between histories
- Creare una nuova cronologia ✍️
- Para la creación de un historial nuevo ✍️
- Erstellen eines neuen Verlaufs ✍️
- Creating a new history
- Créer un nouvel history
- View a list of all histories
- Rinominare una cronologia ✍️
- Umbenennen eines Verlaufs ✍️
- Renaming a history
- Searching your history
- Input Histories & Answer Keys
- Open a Terminal in Jupyter
- Knitting RMarkdown documents in RStudio
- Launch RStudio
- Learning with RMarkdown in RStudio
- TB Variant Report crashes (with an error about KeyError: 'protein')
- Library Permission Issues
- Failing all jobs from a specific user
- How do I find the Maintainer Home pages?
- Mapping Jobs to Specific Storage By User
- How do I add a news feed to a Matrix channel?
- Got lost along the way?
- What is my.galaxy.training
- Using the new Contributions Annotation framework
- Getting your API key
- Debugging Memory Leaks
- Quality Scores
- Qualitätswerte ✍️
- Puntuación de calidad ✍️
- Punteggi di qualità ✍️
- Recording a video tutorial
- Preparing materials for asynchronous learning: CYOA
- Preparing materials for asynchronous learning: FAQs
- Preparing materials for asynchronous learning: Self-Study
- Preparing materials for asynchronous learning: Tips
- Making an element collapsible in a report
- Enhancing tabular dataset previews in reports/pages
- Finding a material's PURL or Short URL
- Re-running a tool
- Selezione di una raccolta di dati come input ✍️
- Selección de una colección de conjuntos de datos como entrada ✍️
- Auswählen einer Datensatzsammlung als Eingabe ✍️
- Selecting a dataset collection as input
- Selezionare più insiemi di dati ✍️
- Seleccionar varios conjuntos de datos ✍️
- Mehrere Datensätze auswählen ✍️
- Select multiple datasets
- Translations within the GTN
- Add genome and annotations to IGV from Galaxy
- Why isn't my history updating?
- Annotating Pre-requisites
- Why host your materials with the GTN?
- Why not use Excel?
- Ensuring Workflows meet Best Practices
- Creating a new workflow
- Opening the workflow editor
- Extracting a workflow from your history
- Hiding intermediate steps
- Importing a workflow
- Setting parameters at run-time
- Renaming workflow outputs
- Viewing a workflow report
- Running a workflow
- Importing and Launching a Dockstore Workflow
- Importing and launching a GTN workflow
- Importing and Launching a WorkflowHub.eu Workflow
35 Video Recordings
- Visualisation / Circos 🗣
- Galaxy Server administration / Reference Data with CVMFS 💬
- Galaxy Server administration / User, Role, Group, Quota, and Authentication managment 💬
- Galaxy Server administration / Galaxy Monitoring with gxadmin 💬
- Galaxy Server administration / Galaxy Monitoring with Telegraf and Grafana 💬
- Assembly / An Introduction to Genome Assembly 💬
- Sequence analysis / Quality Control 💬
- Visualisation / Visualisation with Circos 💬 🗣
- Variant Analysis / Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data 💬
- Variant Analysis / M. tuberculosis Variant Analysis 💬
- Galaxy Server administration / Connecting Galaxy to a compute cluster 🗣
- Galaxy Server administration / Running Jobs on Remote Resources with Pulsar 💬
- Galaxy Server administration / Training Infrastructure as a Service (TIaaS) 💬 🗣
- Galaxy Server administration / Use Apptainer containers for running Galaxy jobs 💬 🗣
- Galaxy Server administration / Upgrading Galaxy 💬
- Galaxy Server administration / Data Libraries 💬
- Galaxy Server administration / Performant Uploads with TUS 💬 🗣
- Galaxy Server administration / Galaxy Installation with Ansible 💬 🗣
- Galaxy Server administration / Galaxy Interactive Tools 💬
- Galaxy Server administration / Mapping Jobs to Destinations using TPV 🗣
- Galaxy Server administration / Galaxy Monitoring with Telegraf and Grafana 💬
- Transcriptomics / Reference-based RNA-Seq data analysis 💬
- Transcriptomics / RNA Seq Counts to Viz in R 💬
- Transcriptomics / Referenzbasierte RNA-Seq-Datenanalyse 💬
- Transcriptomics / Análisis de datos RNA-Seq basados en referencias 💬
- Transcriptomics / Analisi dei dati RNA-Seq basata su riferimenti 💬
5 Events
- Admin Training @ GCC 2022: Online Training Day 🎪 🧑🏫
- 2023 Galaxy Admin Training (Ghent) 🧑🏫
- My External Training Event Title 🎪
- My Training Event Title 🎪
Your Contributor Card
orcid Helena Rasche
Editorial board member for Galaxy Server administration, Foundations of Data Science, Genome Annotation, GMOD, Visualisation
541 Tutorials 153 FAQs 147 Slides 81 News 35 Videos Editorial Board 5 Events
GTN contributor since 2017-09
GitHub Activity
github Issues Reported
748 Merged Pull Requests
See all of the github Pull Requests and github Commits by Helena Rasche.
-
card implementation pending future hovercard
template-and-tools -
fix indentation
variant-analysis -
fix elixir topic to brand guidelines
template-and-tools -
GTN Year In Review
admindevvariant-analysisintroductiontranscriptomics -
code documentation
admintemplate-and-toolscontributingdata-science
Reviewed 1434 PRs
We love our community reviewing each other's work!
-
[Infra] Include events in frontmatter linting
template-and-tools -
Updating sort tool in Chinese tutorial to show available on EU
GTAdigital-humanities -
Fix error in admin/monitoring tutorial
bugadmin -
[GAT] adjust admin path FAQ for gatbrno schedule
admin -
Fix spacing in Agenda to correctly display Table of Contents for Hybrid Genome Assembly Tutorial
assembly
News
Next GTN CoFest May 20, 2021
New Feature: FAQs
New Tutorials: Genome assembly of a MRSA genome
New Feature: Video Player
¿Hablas español?: The first curated tutorial in Spanish!
Oh no, it changed! Quick, to the archive menu.
New Tutorial: Genome Annotation with Apollo
New Tutorial: GitPod for contributing to the GTN
Accessibility Improvements
New Feature: Automatic Jupyter Notebooks
New Feature: GTN API with OpenAPI 3 specification
New FAQs: How does the GTN stay FAIR and Collaborative
New Feature: Automatic RMarkdown
New GTN Feature Tag-based Topics enables new SARS-CoV-2 topic
New Feature: Prometheus Metrics endpoint
GTN Celebrates Black History Month
What are the most used tools in the GTN?
New Feature: Trainer Directory! (Add yourself today!)
New Feature: Click-to-run Workflows
GTN in Discourse
GTN in Discourse
Cool URLs Don't Change, GTN URLs don't either.
Cool URLs Don't Change, GTN URLs don't either.
Learn to use MINERVA Platform's COVID-19 Disease Map with Galaxy
Learn to use MINERVA Platform's COVID-19 Disease Map with Galaxy
GTN Video Library 2.0: 107 hours of learning across 154 videos
GTN Video Library 2.0: 107 hours of learning across 154 videos
Galaxy Administrator Time Burden and Technology Usage
Credit where it's due: GTN Reviewers in the spotlight
Credit where it's due: GTN Reviewers in the spotlight
GTN is now integrated with WorkflowHub
GTN is now integrated with WorkflowHub
External Links
Favourite Topics
Favourite Formats