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: Introduction to data analysis and -management, statistics, and coding
- Learning Pathway: Large-scale data analysis, and introduction to visualisation and data modelling
- Learning Pathway: Data stewardship, federation, standardisation, and collaboration
- Learning Pathway: Introductory Python
- Learning Pathway: Introductory SQL
541 Tutorials
- Metabolomics / Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms) 📝 🧐
- Metabolomics / Mass spectrometry imaging: Examining the spatial distribution of analytes 🧐
- Metabolomics / Mass spectrometry: LC-MS analysis 🧐
- Metabolomics / Mass spectrometry: LC-MS preprocessing with XCMS 🧐
- Metabolomics / Mass spectrometry: LC-MS data processing 🧐
- Microbiome / Identification of the micro-organisms in a beer using Nanopore sequencing 🧐
- Microbiome / 16S Microbial Analysis with mothur (extended) 🧐
- Microbiome / Building an amplicon sequence variant (ASV) table from 16S data using DADA2 🧐
- Microbiome / Assembly of metagenomic sequencing data 🧐
- Microbiome / Metatranscriptomics analysis using microbiome RNA-seq data 🧐
- Microbiome / Taxonomic Profiling and Visualization of Metagenomic Data 🧐
- Microbiome / Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition 🧐
- Microbiome / 16S Microbial Analysis with mothur (short) 🧐
- Microbiome / Antibiotic resistance detection 🧐
- Microbiome / Identifying Mycorrhizal Fungi from ITS2 sequencing using LotuS2 🧐
- Microbiome / Binning of metagenomic sequencing data 🧐
- Microbiome / Metatranscriptomics analysis using microbiome RNA-seq data (short) 🧐
- Microbiome / Analyses of metagenomics data - The global picture 🧐
- Proteomics / Machine Learning Modeling of Anticancer Peptides 🧐
- Proteomics / Peptide and Protein Quantification via Stable Isotope Labelling (SIL) 🧐
- Proteomics / Secretome Prediction 🧐
- Proteomics / Clinical Metaproteomics 2: Discovery 🧐
- Proteomics / Proteogenomics 3: Novel peptide analysis 🧐
- Proteomics / metaQuantome 1: Data creation 🧐
- Proteomics / Detection and quantitation of N-termini (degradomics) via N-TAILS 🧐
- Proteomics / Proteogenomics 2: Database Search 🧐
- Proteomics / Clinical Metaproteomics 4: Quantitation 🧐
- Proteomics / Peptide and Protein ID using OpenMS tools 🧐
- Proteomics / Peptide and Protein ID using SearchGUI and PeptideShaker 🧐
- Proteomics / Proteogenomics 1: Database Creation 🧐
- Proteomics / Label-free versus Labelled - How to Choose Your Quantitation Method 🧐
- Proteomics / Clinical Metaproteomics 1: Database-Generation 🧐
- Proteomics / EncyclopeDIA 🧐
- Proteomics / Clinical Metaproteomics 3: Verification 🧐
- Proteomics / Metaproteomics tutorial 🧐
- Proteomics / Peptide Library Data Analysis 🧐
- Proteomics / Protein FASTA Database Handling 🧐
- Proteomics / MaxQuant and MSstats for the analysis of label-free data 🧐
- Proteomics / Clinical Metaproteomics 5: Data Interpretation 🧐
- Proteomics / Mass spectrometry imaging: Loading and exploring MSI data 🧐
- Proteomics / MaxQuant and MSstats for the analysis of TMT data 🧐
- Materials Science / Finding the muon stopping site with pymuon-suite in Galaxy 🧐
- FAIR Data, Workflows, and Research / FAIRification of an RNAseq dataset 🧐
- FAIR Data, Workflows, and Research / Exporting Workflow Run RO-Crates from Galaxy 🧐
- FAIR Data, Workflows, and Research / REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data 🧐
- FAIR Data, Workflows, and Research / Submitting workflows to LifeMonitor 📝 🧐
- FAIR Data, Workflows, and Research / FAIR Bioimage Metadata 🧐
- FAIR Data, Workflows, and Research / RO-Crate in Python 📝 🧐
- FAIR Data, Workflows, and Research / Introduction to Data Management Plan (DMP) for Peatland Research and PeatDataHub 📝 🧐
- FAIR Data, Workflows, and Research / Metadata 🧐
- FAIR Data, Workflows, and Research / FAIR in a nutshell 📝 🧐
- FAIR Data, Workflows, and Research / Access 🧐
- FAIR Data, Workflows, and Research / FAIR data management solutions 📝 🧐
- FAIR Data, Workflows, and Research / FAIR and its Origins 🧐
- FAIR Data, Workflows, and Research / Uploading Data to Zenodo from Galaxy 🧐
- FAIR Data, Workflows, and Research / FAIR Galaxy Training Material 📝 🧐
- FAIR Data, Workflows, and Research / Integrating InvenioRDM-compatible Repositories with Galaxy 🧐
- FAIR Data, Workflows, and Research / Best practices for workflows in GitHub repositories 🧐
- FAIR Data, Workflows, and Research / Making clinical datasets FAIR 🧐
- FAIR Data, Workflows, and Research / Sequence data submission to ENA 🧐
- FAIR Data, Workflows, and Research / Persistent Identifiers 🧐
- FAIR Data, Workflows, and Research / RO-Crate - Introduction 🧐
- FAIR Data, Workflows, and Research / Data Registration 🧐
- Statistics and Machine Learning / Deep Learning (Part 1) - Feedforward neural networks (FNN) 🧐
- Statistics and Machine Learning / A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy 🧐
- Statistics and Machine Learning / PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis 🧐
- Statistics and Machine Learning / Classification in Machine Learning 🧐
- Statistics and Machine Learning / Interval-Wise Testing for omics data 🧐
- Statistics and Machine Learning / Deep Learning (Part 2) - Recurrent neural networks (RNN) 🧐
- Statistics and Machine Learning / Regression in Machine Learning 🧐
- Statistics and Machine Learning / Supervised Learning with Hyperdimensional Computing 🧐
- Statistics and Machine Learning / Fine tune large protein model (ProtTrans) using HuggingFace 🧐
- Statistics and Machine Learning / Image classification in Galaxy with fruit 360 dataset 🧐
- Statistics and Machine Learning / Machine learning: classification and regression 🧐
- Statistics and Machine Learning / Introduction to Machine Learning using R 🧐
- Statistics and Machine Learning / Deep Learning (Part 3) - Convolutional neural networks (CNN) 🧐
- Statistics and Machine Learning / Basics of machine learning 🧐
- Statistics and Machine Learning / Text-mining with the SimText toolset 🧐
- Foundations of Data Science / Python - Globbing ✍️ 🧐
- Foundations of Data Science / Python - Functions ✍️ 🧐
- Foundations of Data Science / CLI Educational Game - Bashcrawl ✍️ 🧐
- Foundations of Data Science / Python - Lists & Strings & Dictionaries ✍️ 🧐
- Foundations of Data Science / Introduction to Python 🧐
- Foundations of Data Science / Virtual Environments For Software Development ✍️ 🧐
- Foundations of Data Science / SQL with Python ✍️ 🧐
- Foundations of Data Science / CLI basics ✍️ 🧐
- Foundations of Data Science / Data Manipulation Olympics - JQ ✍️
- Foundations of Data Science / Python - Testing ✍️ 🧐
- Foundations of Data Science / Advanced Python 🧐
- Foundations of Data Science / R basics in Galaxy 🧐
- Foundations of Data Science / Python - Loops ✍️ 🧐
- Foundations of Data Science / Version Control with Git 📝 🧐
- Foundations of Data Science / Python - Subprocess ✍️ 🧐
- Foundations of Data Science / Python - Type annotations ✍️ 🧐
- Foundations of Data Science / Basics of using Git from the Command Line ✍️ 🧐
- Foundations of Data Science / Introduction to sequencing with Python (part one) 🧐
- Foundations of Data Science / Advanced R in Galaxy 🧐
- Foundations of Data Science / Python - Argparse ✍️ 🧐
- Foundations of Data Science / Data Manipulation Olympics - SQL ✍️
- Foundations of Data Science / Advanced SQL ✍️ 🧐
- Foundations of Data Science / Advanced CLI in Galaxy ✍️ 🧐
- Foundations of Data Science / SQL Educational Game - Murder Mystery ✍️ 🧐
- Foundations of Data Science / Python - Multiprocessing ✍️ 🧐
- Foundations of Data Science / Variant Calling Workflow ✍️ 🧐
- Foundations of Data Science / SQL with R ✍️ 🧐
- Foundations of Data Science / Introduction to SQL ✍️ 🧐
- Foundations of Data Science / Conda Environments For Software Development ✍️ 🧐
- Foundations of Data Science / Data visualisation Olympics - Visualization in R 📝
- Foundations of Data Science / Python - Introductory Graduation ✍️ 🧐
- Foundations of Data Science / dplyr & tidyverse for data processing ✍️ 🧐
- Foundations of Data Science / Plotting in Python 🧐
- Foundations of Data Science / Make & Snakemake ✍️ 🧐
- Foundations of Data Science / Python - Coding Style 📝
- Foundations of Data Science / Python - Basic Types & Type Conversion ✍️ 🧐
- Foundations of Data Science / Python - Files & CSV ✍️ 🧐
- Foundations of Data Science / A (very) brief history of genomics 🧐
- Foundations of Data Science / Python - Try & Except ✍️ 🧐
- Foundations of Data Science / Python - Flow Control ✍️ 🧐
- Foundations of Data Science / Python - Math ✍️ 🧐
- Digital Humanities / Text-Mining Differences in Chinese Newspaper Articles 🧐
- Introduction to Galaxy Analyses / Galaxy Basics for everyone 🧐
- Introduction to Galaxy Analyses / Best Practices for Citing Galaxy 🧐
- Introduction to Galaxy Analyses / IGV Introduction 🧐
- Introduction to Galaxy Analyses / A short introduction to Galaxy 🧐
- Introduction to Galaxy Analyses / Upload data to Galaxy 🧐
- Introduction to Galaxy Analyses / Very Short Introductions: QC 🧐
- Introduction to Galaxy Analyses / Galaxy Basics for genomics ✍️ 🧐
- Introduction to Galaxy Analyses / NGS data logistics 🧐
- Introduction to Galaxy Analyses / Introduction to Genomics and Galaxy 🧐
- Introduction to Galaxy Analyses / How to reproduce published Galaxy analyses 🧐
- Introduction to Galaxy Analyses / Data Manipulation Olympics 📝 🧐
- Introduction to Galaxy Analyses / From peaks to genes ✍️ 🧐
- Computational Chemistry / Virtual screening of the SARS-CoV-2 main protease with rxDock and pose scoring 🧐
- Computational Chemistry / Protein target prediction of a bioactive ligand with Align-it and ePharmaLib 🧐
- Computational Chemistry / Protein-ligand docking 🧐
- Computational Chemistry / Running molecular dynamics simulations using NAMD 🧐
- Computational Chemistry / Running molecular dynamics simulations using GROMACS 🧐
- Computational Chemistry / Data management in Medicinal Chemistry 🧐
- Computational Chemistry / High Throughput Molecular Dynamics and Analysis 🧐
- Computational Chemistry / Analysis of molecular dynamics simulations 🧐
- Computational Chemistry / Setting up molecular systems 🧐
- Development in Galaxy / Adding and updating best practice metadata for Galaxy tools using the bio.tools registry 🧐
- Development in Galaxy / Creating Galaxy tools from Conda Through Deployment 🧐
- Development in Galaxy / ToolFactory: Generating Tools From Simple Scripts ✍️ 🧐
- Development in Galaxy / JavaScript plugins 🧐
- Development in Galaxy / Contributing to BioBlend as a developer 🧐
- Development in Galaxy / Data source integration ✍️ 🧐
- Development in Galaxy / Galaxy Interactive Tools ✍️ 🧐
- Development in Galaxy / Debugging Galaxy 🧐
- Development in Galaxy / Galaxy Webhooks 🧐
- Development in Galaxy / Writing Automated Tests for Galaxy 🧐
- Development in Galaxy / ToolFactory: Generating Tools From More Complex Scripts 🧐
- Development in Galaxy / Contributing a New Feature to Galaxy Core 🧐
- Development in Galaxy / Generic plugins 🧐
- Development in Galaxy / Scripting Galaxy using the API and BioBlend 📝 🧐
- Sequence Analysis / Mapping ✍️ 🧐
- Sequence Analysis / Screening assembled genomes for contamination using NCBI FCS 📝 🧐
- Sequence Analysis / Clean and manage Sanger sequences from raw files to aligned consensus 🧐
- Sequence Analysis / NCBI BLAST+ against the MAdLand 🧐
- Sequence Analysis / SARS-CoV-2 Viral Sample Alignment and Variant Visualization 🧐
- Sequence Analysis / Quality Control 🧐
- Single Cell / Understanding Barcodes 🧐
- Single Cell / Single-cell quality control with scater 🧐
- Single Cell / Filter, plot, and explore single cell RNA-seq data with Seurat (R) 📝 🧐
- Single Cell / Importing files from public atlases 🧐
- Single Cell / Filter, plot and explore single-cell RNA-seq data with Scanpy 📝 🧐
- Single Cell / Generating a single cell matrix using Alevin and combining datasets (bash + R) 🧐
- Single Cell / Pre-processing of 10X Single-Cell RNA Datasets 🧐
- Single Cell / Inferring single cell trajectories with Scanpy (Python) 📝 🧐
- Single Cell / Converting NCBI Data to the AnnData Format 📝 🧐
- Single Cell / Scanpy Parameter Iterator 🧐
- Single Cell / Bulk matrix to ESet | Creating the bulk RNA-seq dataset for deconvolution 🧐
- Single Cell / Pre-processing of 10X Single-Cell ATAC-seq Datasets 🧐
- Single Cell / Generating a single cell matrix using Alevin 📝 🧐
- Single Cell / Pre-processing of Single-Cell RNA Data 🧐
- Single Cell / Downstream Single-cell RNA analysis with RaceID 🧐
- Single Cell / Filter, plot, and explore single cell RNA-seq data with Seurat 📝 🧐
- Single Cell / Clustering 3K PBMCs with Scanpy 🧐
- Single Cell / Analysis of plant scRNA-Seq Data with Scanpy 🧐
- Single Cell / Removing the effects of the cell cycle 🧐
- Single Cell / Converting between common single cell data formats 📝 🧐
- Single Cell / Filter, plot and explore single-cell RNA-seq data with Scanpy (Python) 🧐
- Single Cell / Inferring single cell trajectories with Monocle3 (R) 📝 🧐
- Single Cell / GO Enrichment Analysis on Single-Cell RNA-Seq Data 🧐
- Single Cell / Comparing inferred cell compositions using MuSiC deconvolution 🧐
- Single Cell / Combining single cell datasets after pre-processing 📝 🧐
- Single Cell / Inferring single cell trajectories with Monocle3 📝 🧐
- Single Cell / Matrix Exchange Format to ESet | Creating a single-cell RNA-seq reference dataset for deconvolution 🧐
- Single Cell / Bulk RNA Deconvolution with MuSiC 🧐
- Single Cell / Inferring single cell trajectories with Scanpy 📝 🧐
- Galaxy Community Building / Creating a Special Interest Group 🧐
- Galaxy Community Building / Creating community content 🧐
- Galaxy Community Building / Make your tools available on your subdomain 🧐
- Galaxy Community Building / Creation of resources listing all the tools and their metadata relevant to your community 🧐
- Galaxy Community Building / What's a Special Interest Group? 🧐
- Galaxy Server Administration / Galaxy Monitoring with gxadmin ✍️ 🧐
- Galaxy Server Administration / Galaxy Installation on Kubernetes 🧐
- Galaxy Server Administration / Alternative Celery Deployment for Galaxy ✍️
- Galaxy Server Administration / Customizing the look of Galaxy 📝 🧐
- Galaxy Server Administration / Galaxy Installation with Ansible ✍️ 🧐
- Galaxy Server Administration / Customizing the look of Galaxy (Manual) 📝 🧐
- Galaxy Server Administration / Deploying a compute cluster in OpenStack via Terraform ✍️ 🧐
- Galaxy Server Administration / Monitoring Galaxy and Pulsar with Sentry 📝 🧐
- Galaxy Server Administration / Ansible ✍️ 🧐
- Galaxy Server Administration / Managing Galaxy on Kubernetes 🧐
- Galaxy Server Administration / Galaxy Monitoring with Telegraf and Grafana ✍️ 🧐
- Galaxy Server Administration / Reference Data with CVMFS without Ansible ✍️ 🧐
- Galaxy Server Administration / Data Libraries ✍️ 🧐
- Galaxy Server Administration / Setting up Celery Workers for Galaxy 📝 🧐
- Galaxy Server Administration / Mapping Jobs to Destinations using TPV 📝 🧐
- Galaxy Server Administration / Deploying Wireguard for private mesh networking ✍️ 🧐
- Galaxy Server Administration / How I learned to stop worrying and love the systemd ✍️
- Galaxy Server Administration / Running Jobs on Remote Resources with Pulsar ✍️ 🧐
- Galaxy Server Administration / Reference Data with Data Managers 📝 🧐
- Galaxy Server Administration / Galaxy Monitoring with Reports ✍️ 🧐
- Galaxy Server Administration / Galaxy Interactive Tools ✍️ 🧐
- Galaxy Server Administration / External Authentication ✍️ 🧐
- Galaxy Server Administration / Use Apptainer containers for running Galaxy jobs ✍️ 🧐
- Galaxy Server Administration / Deploying Tailscale/Headscale for private mesh networking ✍️ 🧐
- Galaxy Server Administration / Reference Data with CVMFS ✍️ 🧐
- Galaxy Server Administration / Deploying a Beacon v1 in Galaxy ✍️ 🧐
- Galaxy Server Administration / Create a subdomain for your community on UseGalaxy.eu 🧐
- Galaxy Server Administration / Galaxy Tool Management with Ephemeris ✍️ 🧐
- Galaxy Server Administration / Galaxy Database schema 🧐
- Galaxy Server Administration / Automation with Jenkins ✍️ 🧐
- Galaxy Server Administration / Connecting Galaxy to a compute cluster ✍️ 🧐
- Galaxy Server Administration / Training Infrastructure as a Service (TIaaS) ✍️ 🧐
- Galaxy Server Administration / Pulsar usage on SURF Research Cloud ✍️ 🧐
- Galaxy Server Administration / Performant Uploads with TUS ✍️ 🧐
- Galaxy Server Administration / Distributed Object Storage ✍️ 🧐
- Galaxy Server Administration / Upgrading Galaxy 🧐
- Galaxy Server Administration / Galaxy usage on SURF Research Cloud ✍️ 🧐
- Galaxy Server Administration / Enable upload via FTP 🧐
- Galaxy Server Administration / Server Maintenance: Cleanup, Backup, and Restoration ✍️ 🧐
- Variant Analysis / Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data 🧐
- Variant Analysis / Microbial Variant Calling 🧐
- 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 / Calling variants in non-diploid systems 🧐
- Variant Analysis / Trio Analysis using Synthetic Datasets from RD-Connect GPAP ✍️ 🧐
- Variant Analysis / Identification of somatic and germline variants from tumor and normal sample pairs 🧐
- Variant Analysis / Exome sequencing data analysis for diagnosing a genetic disease 🧐
- Variant Analysis / Calling very rare variants 🧐
- Variant Analysis / M. tuberculosis Variant Analysis 🧐
- Variant Analysis / From NCBI's Sequence Read Archive (SRA) to Galaxy: SARS-CoV-2 variant analysis 🧐
- Variant Analysis / Somatic Variant Discovery from WES Data Using Control-FREEC 🧐
- Variant Analysis / Avian influenza viral strain analysis from gene segment sequencing data 🧐
- Contributing to the Galaxy Training Material / Including a new topic 📝 🧐
- Contributing to the Galaxy Training Material / Generating PDF artefacts of the website 🧐
- Contributing to the Galaxy Training Material / Tools, Data, and Workflows for tutorials ✍️ 🧐
- Contributing to the Galaxy Training Material / Design and plan session, course, materials 🧐
- Contributing to the Galaxy Training Material / Adding Quizzes to your Tutorial ✍️
- Contributing to the Galaxy Training Material / Creating a new tutorial ✍️ 🧐
- 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 / Contributing to the Galaxy Training Network with GitHub 🧐
- Contributing to the Galaxy Training Material / Creating Interactive Galaxy Tours 🧐
- Contributing to the Galaxy Training Material / Single Cell Publication - Data Analysis ✍️
- Contributing to the Galaxy Training Material / Single Cell Publication - Data Plotting ✍️
- Contributing to the Galaxy Training Material / Teaching Python ✍️ 🧐
- Contributing to the Galaxy Training Material / FAIR-by-Design methodology 🧐
- Contributing to the Galaxy Training Material / Creating content in Markdown ✍️ 🧐
- Contributing to the Galaxy Training Material / Principles of learning and how they apply to training and teaching 🧐
- Contributing to the Galaxy Training Material / GTN Metadata ✍️ 🧐
- Contributing to the Galaxy Training Material / Contributing with GitHub via its interface 🧐
- Teaching and Hosting Galaxy Training / Running a workshop as an instructor ✍️ 🧐
- Teaching and Hosting Galaxy Training / Organizing a workshop ✍️
- Teaching and Hosting Galaxy Training / Course Builder ✍️ 🧐
- Teaching and Hosting Galaxy Training / Training Infrastructure as a Service ✍️ 🧐
- Teaching and Hosting Galaxy Training / Asynchronous training ✍️ 🧐
- Teaching and Hosting Galaxy Training / Teaching experiences 🧐
- Teaching and Hosting Galaxy Training / Galaxy Admin Training ✍️ 🧐
- Teaching and Hosting Galaxy Training / Motivation and Demotivation 🧐
- Teaching and Hosting Galaxy Training / Set up a Galaxy for Training 🧐
- Teaching and Hosting Galaxy Training / Assessment and feedback in training and teachings 🧐
- Teaching and Hosting Galaxy Training / Training techniques to enhance learner participation and engagement 🧐
- Imaging / End-to-End Tissue Microarray Image Analysis with Galaxy-ME 🧐
- Imaging / Analyse HeLa fluorescence siRNA screen 🧐
- Imaging / Introduction to Image Analysis using Galaxy 🧐
- Imaging / Tracking of mitochondria and capturing mitoflashes 🧐
- Imaging / Object tracking using CellProfiler 🧐
- Imaging / Nucleoli segmentation and feature extraction using CellProfiler 🧐
- Earth Data Science / Getting your hands-on earth data 🧐
- Earth Data Science / Ocean's variables study 🧐
- Earth Data Science / Functionally Assembled Terrestrial Ecosystem Simulator (FATES) with Galaxy Climate JupyterLab 🧐
- Earth Data Science / Sentinel 5P data visualisation 🧐
- Earth Data Science / Visualize Climate data with Panoply netCDF viewer 🧐
- Earth Data Science / Getting your hands-on climate data 🧐
- Earth Data Science / Analyse Argo data 🧐
- Earth Data Science / Pangeo ecosystem 101 for everyone - Introduction to Xarray Galaxy Tools 🧐
- Earth Data Science / Ocean Data View (ODV) 🧐
- Earth Data Science / Pangeo Notebook in Galaxy - Introduction to Xarray 🧐
- Earth Data Science / Functionally Assembled Terrestrial Ecosystem Simulator (FATES) 🧐
- Ecology / Champs blocs indicators 🧐
- Ecology / Creating metadata using Ecological Metadata Language (EML) standard with EML Assembly Line functionalities 📝 🧐
- Ecology / RAD-Seq Reference-based data analysis 🧐
- Ecology / QGIS Web Feature Services 🧐
- Ecology / Cleaning GBIF data for the use in Ecology 🧐
- Ecology / Species distribution modeling 🧐
- Ecology / RAD-Seq to construct genetic maps 🧐
- Ecology / Creating FAIR Quality assessment reports and draft of Data Papers from EML metadata with MetaShRIMPS 📝 🧐
- Ecology / Visualize EBV cube data with Panoply netCDF viewer 🧐
- Ecology / Obis marine indicators 🧐
- Ecology / Metabarcoding/eDNA through Obitools 🧐
- Ecology / Sentinel 2 biodiversity 🧐
- Ecology / Regional GAM 🧐
- Ecology / Biodiversity data exploration 🧐
- Ecology / RAD-Seq de-novo data analysis 🧐
- Ecology / Ecoregionalization workflow tutorial 🧐
- Ecology / Visualization of Climate Data using NetCDF xarray Map Plotting 🧐
- Ecology / Compute and analyze biodiversity metrics with PAMPA toolsuite 🧐
- Ecology / From NDVI data with OpenEO to time series visualisation with Holoviews 🧐
- Ecology / Checking expected species and contamination in bacterial isolate 🧐
- Ecology / Preparing genomic data for phylogeny reconstruction 🧐
- Transcriptomics / Visualization of RNA-Seq results with Volcano Plot 🧐
- Transcriptomics / Visualization of RNA-Seq results with CummeRbund 🧐
- Transcriptomics / Reference-based RNAseq data analysis (long) 🧐
- Transcriptomics / Pathway analysis with the MINERVA Platform ✍️ ⚙️ 🧐
- Transcriptomics / RNA-Seq analysis with AskOmics Interactive Tool 🧐
- Transcriptomics / RNA Seq Counts to Viz in R 🧐
- Transcriptomics / Small Non-coding RNA Clustering using BlockClust 🧐
- Transcriptomics / RNA-seq Alignment with STAR 📝 🧐
- Transcriptomics / Reference-based RNA-Seq data analysis 📝 🧐
- Transcriptomics / GO Enrichment Analysis 🧐
- Transcriptomics / De novo transcriptome reconstruction with RNA-Seq 🧐
- Transcriptomics / 2: RNA-seq counts to genes 🧐
- Transcriptomics / Network analysis with Heinz 🧐
- Transcriptomics / CLIP-Seq data analysis from pre-processing to motif detection 🧐
- Transcriptomics / 1: RNA-Seq reads to counts 🧐
- Transcriptomics / Whole transcriptome analysis of Arabidopsis thaliana 🧐
- Transcriptomics / Differential abundance testing of small RNAs 🧐
- Transcriptomics / Visualization of RNA-Seq results with heatmap2 🧐
- Transcriptomics / 3: RNA-seq genes to pathways 🧐
- Transcriptomics / Genome-wide alternative splicing analysis 🧐
- Visualisation / Genomic Data Visualisation with JBrowse ✍️ 🧐
- Visualisation / Visualisation with Circos ✍️ 🧐
- Visualisation / Ploting a Microbial Genome with Circos ✍️
- Genome Annotation / Genome annotation with Helixer 🧐
- Genome Annotation / Essential genes detection with Transposon insertion sequencing 🧐
- Genome Annotation / From small to large-scale genome comparison 🧐
- Genome Annotation / Creating an Official Gene Set 🧐
- Genome Annotation / Genome annotation with Prokka 🧐
- Genome Annotation / Comparative gene analysis in unannotated genomes 🧐
- Genome Annotation / Genome annotation with Maker 🧐
- Genome Annotation / Masking repeats with RepeatMasker 🧐
- Genome Annotation / Functional annotation of protein sequences 🧐
- Genome Annotation / Identification of AMR genes in an assembled bacterial genome 📝 🧐
- Genome Annotation / Refining Genome Annotations with Apollo (eukaryotes) 🧐
- Genome Annotation / CRISPR screen analysis 🧐
- Genome Annotation / Refining Genome Annotations with Apollo (prokaryotes) ✍️ 🧐
- Genome Annotation / Genome Annotation 🧐
- Genome Annotation / Bacterial Genome Annotation 🧐
- Genome Annotation / Genome annotation with Maker (short) 🧐
- Genome Annotation / Long non-coding RNAs (lncRNAs) annotation with FEELnc 🧐
- Genome Annotation / Genome annotation with Funannotate 🧐
- Synthetic Biology / Evaluating and ranking a set of pathways based on multiple metrics 🧐
- Synthetic Biology / Designing plasmids encoding predicted pathways by using the BASIC assembly method 🧐
- Assembly / Making sense of a newly assembled genome ✍️ 🧐
- Assembly / Genome Assembly of MRSA from Oxford Nanopore MinION data (and optionally Illumina data) 📝 🧐
- Assembly / Genome Assembly Quality Control 🧐
- Assembly / Genome assembly using PacBio data 🧐
- Assembly / Hybrid genome assembly - Nanopore and Illumina 🧐
- Assembly / An Introduction to Genome Assembly 🧐
- Assembly / Vertebrate genome assembly using HiFi, Bionano and Hi-C data - Step by Step 🧐
- Assembly / De Bruijn Graph Assembly ✍️ 🧐
- Assembly / Unicycler Assembly 🧐
- Assembly / Unicycler assembly of SARS-CoV-2 genome with preprocessing to remove human genome reads 🧐
- Assembly / Chloroplast genome assembly 🧐
- Assembly / Genome Assembly of a bacterial genome (MRSA) sequenced using Illumina MiSeq Data 📝 🧐
- Assembly / Large genome assembly and polishing 🧐
- Assembly / Using the VGP workflows to assemble a vertebrate genome with HiFi and Hi-C data 🧐
- Using Galaxy and Managing your Data / JupyterLab in Galaxy 📝 🧐
- Using Galaxy and Managing your Data / Automating Galaxy workflows using the command line 🧐
- Using Galaxy and Managing your Data / Rule Based Uploader: Advanced ✍️ 🧐
- Using Galaxy and Managing your Data / Using Workflow Parameters ✍️ 🧐
- Using Galaxy and Managing your Data / Searching Your History ✍️ 🧐
- Using Galaxy and Managing your Data / Name tags for following complex histories ✍️ 🧐
- Using Galaxy and Managing your Data / Downloading and Deleting Data in Galaxy ✍️ 🧐
- Using Galaxy and Managing your Data / Extracting Workflows from Histories 🧐
- Using Galaxy and Managing your Data / Creating high resolution images of Galaxy Workflows 📝 🧐
- Using Galaxy and Managing your Data / InterMine integration with Galaxy 🧐
- Using Galaxy and Managing your Data / Using dataset collections 🧐
- Using Galaxy and Managing your Data / Creating, Editing and Importing Galaxy Workflows 🧐
- Using Galaxy and Managing your Data / Workflow Reports ⚙️ 🧐
- Using Galaxy and Managing your Data / SRA Aligned Read Format to Speed Up SARS-CoV-2 data Analysis 🧐
- Using Galaxy and Managing your Data / Use Jupyter notebooks in Galaxy 🧐
- Using Galaxy and Managing your Data / Group tags for complex experimental designs 🧐
- Using Galaxy and Managing your Data / Rule Based Uploader ✍️ 🧐
- Using Galaxy and Managing your Data / Submitting sequence data to ENA 🧐
- Using Galaxy and Managing your Data / RStudio in Galaxy 🧐
- Using Galaxy and Managing your Data / Understanding Galaxy history system 📝 🧐
- Evolution / Tree thinking for tuberculosis evolution and epidemiology 🧐
- Evolution / Identifying tuberculosis transmission links: from SNPs to transmission clusters 🧐
- Epigenetics / Hi-C analysis of Drosophila melanogaster cells using HiCExplorer 🧐
- Epigenetics / DNA Methylation data analysis 🧐
- Epigenetics / Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1) 🧐
- Epigenetics / ATAC-Seq data analysis 🧐
- Epigenetics / CUT&RUN data analysis 📝 🧐
- Epigenetics / Identification of the binding sites of the Estrogen receptor 🧐
- Epigenetics / Formation of the Super-Structures on the Inactive X 📝 🧐
- Epigenetics / Infinium Human Methylation BeadChip 🧐
- 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
- Materials Science / Introduction to Muon Spectroscopy 🧐
- Development in Galaxy / Galaxy from a developer point of view 🧐
- Synthetic Biology / Introduction to Synthetic Biology 🧐
- Metabolomics / Introduction to Metabolomics 🧐
- Microbiome / Introduction to Microbiome Analysis 🧐
- Microbiome / Introduction to metatranscriptomics 🧐
- Proteomics / Introduction to proteomics, protein identification, quantification and statistical modelling 🧐
- FAIR Data, Workflows, and Research / Intro to DataPLANT ARCs 🧐
- Statistics and Machine Learning / Feedforward neural networks (FNN) Deep Learning - Part 1 🧐
- Statistics and Machine Learning / Image classification in Galaxy with fruit 360 dataset 🧐
- Statistics and Machine Learning / Convolutional neural networks (CNN) Deep Learning - Part 3 🧐
- Foundations of Data Science / A brief history of modern biology 🧐
- Introduction to Galaxy Analyses / A Short Introduction to Galaxy ✍️ 🧐
- Introduction to Galaxy Analyses / Introduction to Galaxy ✍️ 🧐
- Introduction to Galaxy Analyses / Options for using Galaxy 🧐
- Development in Galaxy / Introduction to the ToolFactory tutorial. 🧐
- Development in Galaxy / Visualizations: JavaScript Plugins 🧐
- Development in Galaxy / Tool Dependencies and Conda 🧐
- Development in Galaxy / Prerequisites for building software/conda packages 🧐
- Development in Galaxy / Tool Dependencies and Containers 🧐
- Development in Galaxy / Galaxy Interactive Tours 🧐
- Development in Galaxy / Galaxy Interactive Environments ✍️ 🧐
- Development in Galaxy / Galaxy Webhooks 🧐
- Development in Galaxy / Tool Shed: sharing Galaxy tools 🧐
- Development in Galaxy / Tool development and integration into Galaxy 🧐
- Development in Galaxy / Generic plugins 🧐
- Development in Galaxy / Scripting Galaxy using the API and BioBlend 🧐
- Sequence Analysis / Mapping 🧐
- Sequence Analysis / Quality Control 🧐
- Single Cell / An introduction to scRNA-seq data analysis 🧐
- Single Cell / Trajectory analysis 🧐
- Single Cell / Dealing with Cross-Contamination in Fixed Barcode Protocols 🧐
- Single Cell / Clustering 3K PBMCs with Scanpy 🧐
- Single Cell / Automated Cell Annotation 🧐
- Single Cell / Plates, Batches, and Barcodes 🧐
- Galaxy Server Administration / Advanced customisation of a Galaxy instance ✍️ 🧐
- Galaxy Server Administration / Galaxy Monitoring with gxadmin ✍️ 🧐
- Galaxy Server Administration / Galaxy Administrator Time Burden and Technology Usage 📝 🧐
- Galaxy Server Administration / Galaxy Installation with Ansible 📝 🧐
- Galaxy Server Administration / Terraform ✍️ 🧐
- Galaxy Server Administration / Galaxy Monitoring ✍️
- Galaxy Server Administration / Ansible ✍️ 🧐
- Galaxy Server Administration / Gearing towards production 🧐
- Galaxy Server Administration / Galaxy Monitoring with Telegraf and Grafana ✍️ 🧐
- Galaxy Server Administration / Galaxy from an administrator's point of view ✍️ 🧐
- Galaxy Server Administration / User, Role, Group, Quota, and Authentication managment ✍️ 🧐
- Galaxy Server Administration / Galaxy on the Cloud 📝 🧐
- Galaxy Server Administration / Storage Management ✍️ 🧐
- Galaxy Server Administration / Galaxy and Celery 📝 🧐
- Galaxy Server Administration / Running Jobs on Remote Resources with Pulsar ✍️ 🧐
- Galaxy Server Administration / Galaxy Troubleshooting 🧐
- Galaxy Server Administration / Reference Genomes in Galaxy 🧐
- Galaxy Server Administration / Empathy ✍️ 🧐
- Galaxy Server Administration / Galaxy Interactive Tools 🧐
- Galaxy Server Administration / External Authentication 🧐
- Galaxy Server Administration / Docker and Galaxy 🧐
- Galaxy Server Administration / Server: Other ✍️ 🧐
- Galaxy Server Administration / Reference Data with CVMFS ✍️ 🧐
- Galaxy Server Administration / Controlling Galaxy with systemd or Supervisor ✍️ 🧐
- Galaxy Server Administration / Galactic Database ✍️ 🧐
- Galaxy Server Administration / uWSGI 🧐
- Galaxy Server Administration / Galaxy Tool Management with Ephemeris ✍️ 🧐
- Galaxy Server Administration / Connecting Galaxy to a compute cluster ✍️ 🧐
- Galaxy Server Administration / Storage Management ✍️ 🧐
- Galaxy Server Administration / Server Maintenance: Cleanup, Backup, and Restoration ✍️ 🧐
- Contributing to the Galaxy Training Material / Overview of the Galaxy Training Material 🧐
- Contributing to the Galaxy Training Material / Creating Slides ✍️ 🧐
- Contributing to the Galaxy Training Material / Contributing with GitHub via command-line 🧐
- Teaching and Hosting Galaxy Training / Overview of the Galaxy Training Material for Instructors ✍️
- Teaching and Hosting Galaxy Training / Workshop Kickoff 🧐
- Earth Data Science / Introduction to climate data 🧐
- Earth Data Science / Pangeo ecosystem 101 for everyone 🧐
- Earth Data Science / The Pangeo ecosystem 🧐
- Earth Data Science / Functionally Assembled Terrestrial Ecosystem Simulator (FATES) 🧐
- Transcriptomics / Visualization of RNA-Seq results with CummeRbund 🧐
- Transcriptomics / Integrate and query local datasets and distant RDF data with AskOmics using Semantic Web technologies 🧐
- Transcriptomics / Introduction to Transcriptomics 🧐
- Transcriptomics / Network Analysis with Heinz 🧐
- Transcriptomics / Whole transcriptome analysis of Arabidopsis thaliana 🧐
- Transcriptomics / Identification of non-canonical ORFs and their potential biological function 🧐
- Visualisation / Friends Don't Let Friends Make Bad Graphs 📝
- Visualisation / Visualisations in Galaxy ✍️ 🧐
- Visualisation / JBrowse ✍️ 🧐
- Visualisation / Circos ✍️ 🧐
- Genome Annotation / High Performance Computing for Pairwise Genome Comparison 🧐
- Genome Annotation / Introduction to Genome Annotation ✍️ 🧐
- Genome Annotation / Genome annotation with Prokka 🧐
- Genome Annotation / Introduction to CRISPR screen analysis 🧐
- Genome Annotation / Refining Genome Annotations with Apollo ✍️ 🧐
- Assembly / An introduction to get started in genome assembly and annotation 🧐
- Assembly / Genome assembly quality control. 🧐
- Assembly / An Introduction to Genome Assembly 🧐
- Assembly / De Bruijn Graph Assembly 🧐
- Assembly / Unicycler Assembly 🧐
- Assembly / Deeper look into Genome Assembly algorithms 🧐
- Assembly / Unicycler assembly of SARS-CoV-2 genome with preprocessing to remove human genome reads 🧐
- Using Galaxy and Managing your Data / Getting data into Galaxy 🧐
- Using Galaxy and Managing your Data / Introduction to SRA Aligned Read Format and Cloud Metadata for SARS-CoV-2 🧐
- Using Galaxy and Managing your Data / Galaxy workflows in Dockstore 🧐
- Evolution / Phylogenetics - Back to Basics - Multiple Sequence Alignment 🧐
- Evolution / Phylogenetics - Back to Basics - Terminology 🧐
- Evolution / Phylogenetics - Back to Basics - Phylogenetic Networks 🧐
- Evolution / Phylogenetics - Back to Basics - Building Trees 🧐
- Evolution / Phylogenetics - Back to Basics - Estimating trees from alignments 🧐
- Evolution / Phylogenetics - Back to Basics - Introduction 🧐
- Epigenetics / Introduction to ATAC-Seq data analysis 🧐
- Epigenetics / Introduction to ChIP-Seq data analysis 🧐
- Epigenetics / ChIP-seq data analysis 🧐
- Epigenetics / Introduction to DNA Methylation data analysis 🧐
- Epigenetics / EWAS Epigenome-Wide Association Studies Introduction 🧐
- Introduction to Galaxy Analyses / Una breve introducción a Galaxy ✍️ 🧐
- 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 🧐
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
- Crear una colección de conjuntos de datos ✍️
- Creating a dataset collection
- Erstellen einer Datensatzsammlung ✍️
- Creare una raccolta di set di dati ✍️
- Creación de una colección emparejada ✍️
- Creating a paired collection
- Erstellen einer gepaarten Sammlung ✍️
- Creazione di una raccolta accoppiata ✍️
- 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
- Añadir una etiqueta ✍️
- Adding a tag
- Hinzufügen eines Tags ✍️
- Aggiunta di un tag ✍️
- Changing the datatype
- Ändern des Datentyps ✍️
- Modifica del tipo di dato ✍️
- Changing database/build (dbkey)
- Converting the file format
- Creación de un nuevo fichero ✍️
- Creating a new file
- Erstellen einer neuen Datei ✍️
- Creare un nuovo file ✍️
- Detecting the datatype (file format)
- Importar datos de una biblioteca de datos ✍️
- Importing data from a data library
- Importieren von Daten aus einer Datenbibliothek ✍️
- Importare i dati da una libreria di dati ✍️
- Importing data from repositories
- Importing via links
- Importieren über Links ✍️
- Importazione tramite link ✍️
- Cambiar el nombre de un conjunto de datos ✍️
- Renaming a dataset
- Umbenennen eines Datensatzes ✍️
- Rinominare un set di dati ✍️
- How to read a Diff
- How does the GTN ensure our training materials are FAIR?
- Using the Window Manager to view multiple datasets
- Verwendung des Fenstermanagers zur Anzeige mehrerer Datensätze ✍️
- Usare la Gestione finestre per visualizzare più insiemi di dati ✍️
- 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
- Copiar un conjunto de datos entre historiales ✍️
- Copy a dataset between histories
- Kopieren eines Datensatzes zwischen Historien ✍️
- Copiare un set di dati tra le cronologie ✍️
- Para la creación de un historial nuevo ✍️
- Créer un nouvel history
- Creating a new history
- Erstellen eines neuen Verlaufs ✍️
- Creare una nuova cronologia ✍️
- View a list of all histories
- Renaming a history
- Umbenennen eines Verlaufs ✍️
- Rinominare una cronologia ✍️
- 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
- Selección de una colección de conjuntos de datos como entrada ✍️
- Selecting a dataset collection as input
- Auswählen einer Datensatzsammlung als Eingabe ✍️
- Selezione di una raccolta di dati come input ✍️
- Seleccionar varios conjuntos de datos ✍️
- Select multiple datasets
- Mehrere Datensätze auswählen ✍️
- Selezionare più insiemi di dati ✍️
- 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
- Sequence Analysis / Quality Control 💬
- Galaxy Server Administration / Galaxy Monitoring with gxadmin 💬
- Galaxy Server Administration / Galaxy Monitoring with Telegraf and Grafana 💬
- Galaxy Server Administration / User, Role, Group, Quota, and Authentication managment 💬
- Galaxy Server Administration / Reference Data with CVMFS 💬
- Visualisation / Circos 🗣
- Assembly / An Introduction to Genome Assembly 💬
- Galaxy Server Administration / Galaxy Installation with Ansible 💬 🗣
- Galaxy Server Administration / Galaxy Monitoring with Telegraf and Grafana 💬
- Galaxy Server Administration / Data Libraries 💬
- Galaxy Server Administration / Mapping Jobs to Destinations using TPV 🗣
- Galaxy Server Administration / Running Jobs on Remote Resources with Pulsar 💬
- Galaxy Server Administration / Galaxy Interactive Tools 💬
- Galaxy Server Administration / Use Apptainer containers for running Galaxy jobs 💬 🗣
- Galaxy Server Administration / Connecting Galaxy to a compute cluster 🗣
- Galaxy Server Administration / Training Infrastructure as a Service (TIaaS) 💬 🗣
- Galaxy Server Administration / Performant Uploads with TUS 💬 🗣
- Galaxy Server Administration / Upgrading Galaxy 💬
- Variant Analysis / Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data 💬
- Variant Analysis / M. tuberculosis Variant Analysis 💬
- Transcriptomics / RNA Seq Counts to Viz in R 💬
- Transcriptomics / Reference-based RNA-Seq data analysis 💬
- Visualisation / Visualisation with Circos 💬 🗣
- Transcriptomics / Referenzbasierte RNA-Seq-Datenanalyse 💬
- Transcriptomics / Análisis de datos RNA-Seq basados en referencias 💬
- Transcriptomics / Analisi dei dati RNA-Seq basata su riferimenti 💬
3 Events
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 3 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.
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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 1438 PRs
We love our community reviewing each other's work!
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Add a GTN AI Policy
template-and-tools -
Open external links in a new tab when the GTN is shown inside an iframe
bugtemplate-and-toolsjavascriptux -
[Google Form] New Event!
template-and-tools -
Update Galaxy server compatibility checking
template-and-tools -
[Infra] Include events in frontmatter linting
template-and-tools
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