Björn Grüning
Affiliations
de.NBI
MWK
UFR
ELIXIR Europe
MVDFormer Affiliations
EuroScienceGateway
EOSC-Life
BeYond-COVID
Collaborative Research Centre 992
ELIXIR-CONVERGEContributions
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.
5 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: Computational chemistry
- Topic: Contributing to the Galaxy Training Material
- Topic: Proteomics
- Topic: Variant Analysis
386 Tutorials
- Imaging / Object tracking using CellProfiler 🧐
- Imaging / Quantification of single-molecule RNA fluorescence in situ hybridization (smFISH) in yeast cell lines 🧐
- Imaging / Nucleoli segmentation and feature extraction using CellProfiler 🧐
- Imaging / Tracking of mitochondria and capturing mitoflashes 🧐
- Imaging / Introduction to Image Analysis using Galaxy 🧐
- Imaging / Parameter tuning and optimization - Evaluating nuclei segmentation with Galaxy 🧐
- Imaging / Training Custom YOLO Models for Segmentation of Bioimages 🧐
- Imaging / Using BioImage.IO models for image analysis in Galaxy 🧐
- Imaging / Voronoi segmentation 🧐
- Imaging / Overview of the Galaxy OMERO-suite - Upload images and metadata in OMERO using Galaxy 📝 🧐
- Imaging / End-to-End Tissue Microarray Image Analysis with Galaxy-ME 🧐
- Imaging / Quantification of electrophoresis gel bands using QuPath and Galaxy imaging tools 🧐
- 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 imaging: Finding differential analytes 🧐
- Statistics and machine learning / Pretraining a Large Language Model (LLM) from Scratch on DNA Sequences 🧐
- Statistics and machine learning / Introduction to deep learning 🧐
- Statistics and machine learning / Identifing Survival Markers of Brain tumor with Flexynesis ✍️ 🧐
- Statistics and machine learning / Deep Learning (Part 3) - Convolutional neural networks (CNN) 🧐
- Statistics and machine learning / Age prediction using machine learning 🧐
- Statistics and machine learning / Galaxy Tabular Learner - Building a Model using Chowell clinical data 🧐
- 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 / Modeling Breast Cancer Subtypes with Flexynesis ✍️ 🧐
- 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 / Generating Artificial Yeast DNA Sequences using a DNA LLM 🧐
- Statistics and machine learning / Fine-tuning a LLM for DNA Sequence Classification 🧐
- Statistics and machine learning / Basics of machine learning 🧐
- Statistics and machine learning / Predicting Mutation Impact with Zero-shot Learning using a pretrained DNA LLM 🧐
- Statistics and machine learning / Interval-Wise Testing for omics data 🧐
- Statistics and machine learning / Prepare Data from CbioPortal for Flexynesis Integration ✍️ 🧐
- Statistics and machine learning / Clustering in Machine Learning 🧐
- Statistics and machine learning / Unsupervised Analysis of Bone Marrow Cells with Flexynesis ✍️ 🧐
- Statistics and machine learning / Optimizing DNA Sequences for Biological Functions using a DNA LLM 🧐
- Single Cell / Analysis of plant scRNA-Seq Data with Scanpy 🧐
- Single Cell / Evaluating Reference Data for Bulk RNA Deconvolution 🧐
- 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 / Clustering 3K PBMCs with Seurat 🧐
- Single Cell / Filter, plot, and explore single cell RNA-seq data with Seurat (R) 🧐
- Single Cell / Single-cell ATAC-seq standard processing with SnapATAC2 📝 🧐
- Single Cell / Pseudobulk Analysis with Decoupler and EdgeR 🧐
- 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 / Introduction to Digital Humanities in Galaxy 🧐
- Digital Humanities / Text-Mining Differences in Chinese Newspaper Articles 🧐
- 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 / Deciphering Virus Populations - Single Nucleotide Variants (SNVs) and Specificities in Baculovirus Isolates 🧐
- 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 / Multiomics data analysis using MultiGSEA 🧐
- Proteomics / Clinical Metaproteomics 5: Data Interpretation 🧐
- Proteomics / Annotating a protein list identified by LC-MS/MS experiments 🧐
- Proteomics / MaxQuant and MSstats for the analysis of TMT data 🧐
- Proteomics / metaQuantome 2: Function 🧐
- Proteomics / Peptide Library Data Analysis 🧐
- Proteomics / metaQuantome 3: Taxonomy 🧐
- 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 / DIA Analysis using OpenSwathWorkflow 🧐
- 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 / Label-free data analysis using MaxQuant 🧐
- Proteomics / Clinical Metaproteomics 4: Quantitation 🧐
- Proteomics / Library Generation for DIA Analysis 🧐
- Proteomics / EncyclopeDIA 🧐
- Proteomics / Statistical analysis of DIA data 🧐
- 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 / Galaxy Basics for genomics ✍️ 🧐
- 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 / 16S Microbial analysis with Nanopore data 🧐
- Microbiome / Assembly of metagenomic sequencing data 🧐
- Microbiome / Query an annotated mobile genetic element database to identify and annotate genetic elements (e.g. plasmids) in metagenomics data 🧐
- Microbiome / Metatranscriptomics analysis using microbiome RNA-seq data 🧐
- Microbiome / Calculating α and β diversity from microbiome taxonomic data 🧐
- Microbiome / 16S Microbial Analysis with mothur (extended) 🧐
- Microbiome / Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition 🧐
- Microbiome / Antibiotic resistance detection 🧐
- Microbiome / Metatranscriptomics analysis using microbiome RNA-seq data (short) 🧐
- Climate / Sentinel 5P data visualisation 🧐
- Climate / Functionally Assembled Terrestrial Ecosystem Simulator (FATES) 🧐
- Climate / Collaboration with JupyterGIS 🧐
- 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 / Nitrate DMQC for autonomous platforms such as Argo floats 🧐
- Climate / Analyse Argo data 🧐
- Galaxy Community Building / Creation of the labs in the different Galaxy instances for your community 🧐
- 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 / Extracting Workflows from Histories 🧐
- 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 / Annotate, prepare tests and publish Galaxy workflows in workflow registries 🧐
- 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 / Exporting to Onedata remote 🧐
- Using Galaxy and Managing your Data / Getting started with Onedata distributed storage 🧐
- Using Galaxy and Managing your Data / Onedata user-owned storage 🧐
- 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 / Importing (uploading) data from Onedata 🧐
- Using Galaxy and Managing your Data / Submitting sequence data to ENA 🧐
- 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 / Adding file-sources to 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 / 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 / Ansible 🧐
- Galaxy Server administration / Training Infrastructure as a Service (TIaaS) 🧐
- 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 / Configuring the Onedata connectors (remotes, Object Store, BYOS, BYOD) 🧐
- Galaxy Server administration / Galaxy Monitoring with gxadmin 🧐
- Galaxy Server administration / Galaxy Installation with Ansible 🧐
- Galaxy Server administration / Galaxy Interactive Tools 🧐
- Galaxy Server administration / Automation with Jenkins 🧐
- Galaxy Server administration / Mapping Jobs to Destinations using TPV ✍️ 🧐
- 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 🧐
- 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 / Virtual screening of the SARS-CoV-2 main protease with rxDock and pose scoring 🧐
- 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 / 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 / Comparison of two annotation tools - Helixer and Braker3 🧐
- Genome Annotation / Essential genes detection with Transposon insertion sequencing 🧐
- Genome Annotation / Genome Annotation ✍️ 🧐
- Genome Annotation / CRISPR screen analysis 🧐
- 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 / Genome annotation with Prokka 🧐
- Genome Annotation / Bacterial Genome Annotation 🧐
- Foundations of Data Science / Introduction to sequencing with Python (part three) 🧐
- Foundations of Data Science / Introduction to sequencing with Python (part one) 🧐
- Foundations of Data Science / Introduction to sequencing with Python (part four) 🧐
- Foundations of Data Science / Introduction to sequencing with Python (part two) 🧐
- Foundations of Data Science / SQL Educational Game - Murder Mystery 🧐
- Foundations of Data Science / A (very) brief history of genomics 🧐
- Foundations of Data Science / Versioning your code and data with git 🧐
- Foundations of Data Science / Data manipulation with Pandas 🧐
- Foundations of Data Science / Make & Snakemake 🧐
- Materials Science / Finding the muon stopping site with pymuon-suite in Galaxy 🧐
- Development in Galaxy / Galaxy Webhooks ✍️ 🧐
- 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 / Setting up a dev Onedata instance 🧐
- Development in Galaxy / ToolFactory: Generating Tools From Simple Scripts 🧐
- Development in Galaxy / Galaxy Interactive Tools 🧐
- Development in Galaxy / Generic plugins 🧐
- Ecology / RAD-Seq de-novo data analysis 🧐
- Ecology / QGIS Web Feature Services 🧐
- Ecology / Champs blocs indicators 🧐
- Ecology / Creating metadata using Ecological Metadata Language (EML) standard with EML Assembly Line functionalities 🧐
- Ecology / Obis marine indicators 🧐
- Ecology / RAD-Seq Reference-based data analysis 🧐
- Ecology / Life Traits Ecoregionalization workflow 🧐
- Ecology / Compute and analyze biodiversity metrics with PAMPA toolsuite 🧐
- Ecology / Regional GAM 🧐
- Ecology / Sentinel 2 biodiversity 🧐
- Ecology / Creating FAIR Quality assessment reports and draft of Data Papers from EML metadata with MetaShRIMPS 🧐
- Ecology / Marine Omics identifying biosynthetic gene clusters 🧐
- Ecology / Ecoregionalization workflow tutorial 🧐
- Ecology / From NDVI data with OpenEO to time series visualisation with Holoviews 🧐
- Ecology / RAD-Seq to construct genetic maps 🧐
- Ecology / Cleaning GBIF data using OpenRefine 🧐
- 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 / Design and plan session, course, materials 🧐
- Contributing to the Galaxy Training Material / Preview the GTN website as you edit your training material ✍️ 🧐
- 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 / 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 / Persistent Identifiers 🧐
- FAIR Data, Workflows, and Research / REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data 🧐
- FAIR Data, Workflows, and Research / Metadata 🧐
- FAIR Data, Workflows, and Research / RO-Crate - Introduction 🧐
- 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 / DataPLANT ARCs 🧐
- FAIR Data, Workflows, and Research / Data Registration 🧐
- FAIR Data, Workflows, and Research / RO-Crate in Python 🧐
- FAIR Data, Workflows, and Research / FAIR Bioimage Metadata 🧐
- FAIR Data, Workflows, and Research / Exporting Workflow Run RO-Crates from Galaxy 🧐
- Assembly / ERGA post-assembly QC 🧐
- 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 / Decontamination of a genome assembly 🧐
- Assembly / Unicycler Assembly 🧐
- Assembly / Unicycler assembly of SARS-CoV-2 genome with preprocessing to remove human genome reads 🧐
- Assembly / Assembly of the mitochondrial genome from PacBio HiFi 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 / Quality and contamination control in bacterial isolate using Illumina MiSeq Data 🧐
- Sequence analysis / Mapping 🧐
- 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 / Teaching online 🧐
- Teaching and Hosting Galaxy training / Assessment and feedback in training and teachings 🧐
- Teaching and Hosting Galaxy training / Training Infrastructure as a Service 🧐
- Teaching and Hosting Galaxy training / Organizing a workshop 🧐
- Teaching and Hosting Galaxy training / Hybrid 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 / 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 / De novo transcriptome assembly, annotation, and differential expression analysis 🧐
- Transcriptomics / Reference-based RNAseq data analysis (long) 🧐
- Transcriptomics / 3: RNA-seq genes to pathways 🧐
- 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 / RNA-RNA interactome data analysis 🧐
- Transcriptomics / De novo transcriptome reconstruction with RNA-Seq 🧐
- 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 ✍️
- Introduction to Galaxy Analyses / De picos a genes ✍️
- Introduction to Galaxy Analyses / Dai picchi ai geni ✍️
101 Slides
- Materials Science / Introduction to Muon Spectroscopy 🧐
- Development in Galaxy / Galaxy from a developer point of view 🧐
-
Imaging
/
Nucleoli Segmentation
&
Feature Extraction
using CellProfiler 🧐 - Visualisation / Circos 🧐
- Visualisation / Visualisations in Galaxy 🧐
- Visualisation / JBrowse 🧐
- Metabolomics / Mass spectrometry: LC-MS preprocessing - advanced 🧐
- Statistics and machine learning / Convolutional neural networks (CNN) Deep Learning - Part 3 🧐
- Statistics and machine learning / Fine-tuning Protein Language Model 🧐
- Statistics and machine learning / Classification in Machine Learning 🧐
- Statistics and machine learning / Regression in Machine Learning 🧐
- Statistics and machine learning / Introduction to Machine learning 🧐
- Single Cell / Single-cell Formats and Resources 🧐
- Single Cell / An introduction to scRNA-seq data analysis 🧐
- Single Cell / Trajectory analysis 🧐
- Single Cell / Automated Cell Annotation 🧐
- Single Cell / GO Enrichment Analysis on Single-Cell RNA-Seq Data 🧐
- Single Cell / Dealing with Cross-Contamination in Fixed Barcode Protocols 🧐
- Single Cell / Clustering 3K PBMCs with Scanpy 🧐
- Single Cell / Plates, Batches, and Barcodes 🧐
- Variant Analysis / Introduction to Variant analysis 🧐
- 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) 🧐
- Using Galaxy and Managing your Data / Galaxy workflows in Dockstore 🧐
- Using Galaxy and Managing your Data / Submitting SARS-CoV-2 sequences to ENA 🧐
- Galaxy Server administration / Docker and Galaxy ✍️ 🧐
- Galaxy Server administration / Connecting Galaxy to a compute cluster ✍️ 🧐
- Galaxy Server administration / Server: Other ✍️ 🧐
- Galaxy Server administration / Reference Data with CVMFS 🧐
- Galaxy Server administration / Galaxy on the Cloud 🧐
- Galaxy Server administration / Galactic Database 🧐
- Galaxy Server administration / Galaxy from an administrator's point of view ✍️ 🧐
- 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 / Galaxy Monitoring with gxadmin ✍️ 🧐
- 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 ChIP-Seq data analysis 🧐
- Genome Annotation / Introduction to Genome Annotation 🧐
- Genome Annotation / Genome annotation with Prokka 🧐
- Development in Galaxy / Galaxy Webhooks ✍️ 🧐
- Development in Galaxy / Galaxy Interactive Environments ✍️ 🧐
- Development in Galaxy / Tool Shed: sharing Galaxy tools 🧐
- Development in Galaxy / Architecture 01 - Galaxy Ecosystem and Projects
- 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 / 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 🧐
- Assembly / Unicycler Assembly 🧐
- Assembly / Unicycler assembly of SARS-CoV-2 genome with preprocessing to remove human genome reads 🧐
- Assembly / Genome assembly and assembly QC - Introduction short version 🧐
- Sequence analysis / Mapping 🧐
- Sequence analysis / Quality Control 🧐
- Teaching and Hosting Galaxy training / Overview of the Galaxy Training Material for Instructors 🧐
- Transcriptomics / Identification of non-canonical ORFs and their potential biological function 🧐
- Transcriptomics / Introduction to Transcriptomics 🧐
- Single Cell / Introducción al análisis de datos de scRNA-seq 🧐
- Single Cell / Una introducción al análisis de datos scRNA-seq 🧐
2 FAQs
7 Events
- 2023 Galaxy Admin Training (Ghent) 🎪
- Galaxy Training Academy 2025 🧑🏫
- A Galaxy Introduction for Everyone 🧑🏫
- 2025 Galaxy Admin Training (Brno) 🧑🏫
- Workshop on high-throughput sequencing data analysis with Galaxy 🧑🏫
- Galaxy Training Academy 2026 🧑🏫
- Galaxy Training Academy 2024 🧑🏫
Your Contributor Card
orcid Björn Grüning
Editorial board member for Galaxy Server administration, Computational chemistry, Contributing to the Galaxy Training Material, Proteomics, Variant Analysis
386 Tutorials 101 Slides 7 Events 5 News Editorial Board 2 FAQs
GTN contributor since 2017-09
GitHub Activity
github Issues Reported
75 Merged Pull Requests
See all of the github Pull Requests and github Commits by Björn Grüning.
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dekcd has two entries
template-and-tools -
add links into the bio
template-and-tools
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Update ORGANISATIONS.yaml with a few BIOs
template-and-tools
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add nfdi4boimage and de.NBI to the funding
imaging
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try migrating labeller to new version
Reviewed 1112 PRs
We love our community reviewing each other's work!
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Update CVMFS training material
admin -
small changes to arabidopsis transcriptome analysis tutorial
transcriptomics -
Update interactive tool id link in tutorial
climate -
Update main Galaxy Project citation to latest 2026 NAR paper
introduction -
Update CONTRIBUTORS.yaml
template-and-tools
News
Open Galaxy Position at Galaxy Europe Team, University of Freiburg
4th Mycobacterium tuberculosis complex NGS made easy
GTN is now integrated with WorkflowHub
GTN is now integrated with WorkflowHub
New Paper! Ten common misconceptions about Galaxy (and why they are wrong!)
GTN contributor since 2017-09
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