Bérénice Batut
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.
19 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: Contributing to the Galaxy Training Material
- Topic: Foundations of Data Science
- Topic: Development in Galaxy
- Topic: ELIXIR
- Topic: Microbiome
- Topic: Sequence analysis
- Topic: Teaching and Hosting Galaxy training
- Topic: Transcriptomics
- Topic: Variant Analysis
- Learning Pathway: Detection of AMR genes in bacterial genomes
- Learning Pathway: Bacterial comparative genomics
- Learning Pathway: Large-scale data analysis, and introduction to visualisation and data modelling
- Learning Pathway: Data analysis and modelling for evidence and hypothesis generation and knowledge discovery
- Learning Pathway: Train-the-Trainer and mentoring programme
- Learning Pathway: Building and Annotating Metagenome-Assembled Genomes (MAGs) from Metagenomics Reads
- Learning Pathway: Metagenomics data processing and analysis for microbiome
- Learning Pathway: Artificial Intelligence and Machine Learning in Life Sciences using Python
- Learning Pathway: Creation of a Community CoDex and lab (and optionally of a Special Interest Group (SIG))
- Learning Pathway: Train the Trainers
307 Tutorials
- Using Galaxy and Managing your Data / Annotate, prepare tests and publish Galaxy workflows in workflow registries ✍️ 🧐
- Using Galaxy and Managing your Data / Automating Galaxy workflows using the command line 🧐
- Using Galaxy and Managing your Data / RStudio in Galaxy ✍️ 🧐
- Using Galaxy and Managing your Data / Group tags for complex experimental designs 🧐
- Using Galaxy and Managing your Data / InterMine integration with Galaxy 🧐
- Using Galaxy and Managing your Data / Use Jupyter notebooks in Galaxy 🧐
- Using Galaxy and Managing your Data / Extracting Workflows from Histories 🧐
- Using Galaxy and Managing your Data / Name tags for following complex histories 🧐
- Using Galaxy and Managing your Data / Using dataset collections 🧐
- Using Galaxy and Managing your Data / Understanding Galaxy history system 📝 🧐
- Using Galaxy and Managing your Data / Rule Based Uploader: Advanced 🧐
- Development in Galaxy / JavaScript plugins 🧐
- Development in Galaxy / Data source integration ✍️ 🧐
- 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 / Generic plugins 🧐
- Genome Annotation / Refining Genome Annotations with Apollo (prokaryotes) 🧐
- Genome Annotation / Genome annotation with Maker 🧐
- Genome Annotation / Genome Annotation 🧐
- Genome Annotation / Functional annotation of protein sequences 🧐
- Genome Annotation / Essential genes detection with Transposon insertion sequencing ✍️ 🧐
- Genome Annotation / Dataset construction for bacterial comparative genomics ✍️
- Genome Annotation / Genome annotation with Maker (short) 🧐
- Genome Annotation / Genome annotation with Braker3 🧐
- Genome Annotation / Genome annotation with Prokka 🧐
- Genome Annotation / Bacterial pangenomics ✍️
- Genome Annotation / Creating an Official Gene Set 🧐
- Genome Annotation / Bacterial genome quality control ✍️
- Genome Annotation / Refining Genome Annotations with Apollo (eukaryotes) 🧐
- Genome Annotation / Genome annotation with Funannotate 🧐
- Genome Annotation / Comparative gene analysis in unannotated genomes 🧐
- Genome Annotation / Identification of AMR genes in an assembled bacterial genome ✍️ 🧐
- Genome Annotation / Genome annotation with Helixer 🧐
- Genome Annotation / Masking repeats with RepeatMasker 🧐
- Genome Annotation / Bacterial Genome Annotation ✍️ 🧐
- Assembly / Unicycler Assembly 🧐
- Assembly / ERGA post-assembly QC 🧐
- Assembly / Assembly of the mitochondrial genome from PacBio HiFi reads 🧐
- Assembly / Decontamination of a genome assembly 🧐
- Assembly / Genome assembly using PacBio data 🧐
- Assembly / Genome Assembly Quality Control 🧐
- Assembly / Genome Assembly of a bacterial genome (MRSA) sequenced using Illumina MiSeq Data ✍️ 🧐
- Assembly / Using the VGP workflows to assemble a vertebrate genome with HiFi and Hi-C data 🧐
- Assembly / Large genome assembly and polishing 🧐
- Assembly / Chloroplast genome assembly 🧐
- Assembly / An Introduction to Genome Assembly 🧐
- Assembly / Making sense of a newly assembled genome 🧐
- Assembly / Unicycler assembly of SARS-CoV-2 genome with preprocessing to remove human genome reads 🧐
- Assembly / Vertebrate genome assembly using HiFi, Bionano and Hi-C data - Step by Step 🧐
- Assembly / De Bruijn Graph Assembly 🧐
- Assembly / Genome Assembly of MRSA from Oxford Nanopore MinION data (and optionally Illumina data) ✍️ 🧐
- Introduction to Galaxy Analyses / NGS data logistics 🧐
- Introduction to Galaxy Analyses / Very Short Introductions: QC 🧐
- Introduction to Galaxy Analyses / Introduction to Genomics and Galaxy 🧐
- Introduction to Galaxy Analyses / Upload data to Galaxy ✍️ 🧐
- Introduction to Galaxy Analyses / IGV Introduction 🧐
- 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 / Galaxy Basics for genomics 🧐
- Contributing to the Galaxy Training Material / Creating Interactive Galaxy Tours ✍️ 🧐
- Contributing to the Galaxy Training Material / Contributing to the Galaxy Training Network with GitHub ✍️ 🧐
- Contributing to the Galaxy Training Material / Principles of learning and how they apply to training and teaching ✍️ 🧐
- Contributing to the Galaxy Training Material / Design and plan session, course, materials ✍️ 🧐
- Contributing to the Galaxy Training Material / FAIR-by-Design methodology 🧐
- Contributing to the Galaxy Training Material / Creating a new tutorial ✍️ 🧐
- Contributing to the Galaxy Training Material / Including a new topic ✍️ 🧐
- Contributing to the Galaxy Training Material / Adding auto-generated video to your slides 🧐
- Contributing to the Galaxy Training Material / Contributing with GitHub via its interface ✍️ 🧐
- Contributing to the Galaxy Training Material / Updating tool versions in a tutorial 📝 🧐
- Contributing to the Galaxy Training Material / Tools, Data, and Workflows for tutorials ✍️ 🧐
- Contributing to the Galaxy Training Material / Creating content in Markdown ✍️ 🧐
- Contributing to the Galaxy Training Material / Preview the GTN website as you edit your training material ✍️
- Contributing to the Galaxy Training Material / Generating PDF artefacts of the website ✍️ 🧐
- Variant Analysis / Exome sequencing data analysis for diagnosing a genetic disease ✍️ 🧐
- Variant Analysis / Mapping and molecular identification of phenotype-causing mutations 🧐
- Variant Analysis / Identification of somatic and germline variants from tumor and normal sample pairs 🧐
- Variant Analysis / Calling variants in diploid systems 🧐
- Variant Analysis / Calling very rare variants 🧐
- Variant Analysis / Calling variants in non-diploid systems 🧐
- Variant Analysis / Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data ✍️ 🧐
- Variant Analysis / Microbial Variant Calling 🧐
- Variant Analysis / M. tuberculosis Variant Analysis 🧐
- Transcriptomics / Differential abundance testing of small RNAs 🧐
- Transcriptomics / Visualization of RNA-Seq results with CummeRbund 🧐
- Transcriptomics / RNA Seq Counts to Viz in R ✍️ 🧐
- Transcriptomics / CLIP-Seq data analysis from pre-processing to motif detection ✍️ 🧐
- Transcriptomics / Reference-based RNA-Seq data analysis ✍️ 🧐
- Transcriptomics / Whole transcriptome analysis of Arabidopsis thaliana 🧐
- Transcriptomics / De novo transcriptome reconstruction with RNA-Seq 🧐
- Transcriptomics / Network analysis with Heinz 🧐
- Transcriptomics / Reference-based RNAseq data analysis (long) 🧐
- Transcriptomics / 1: RNA-Seq reads to counts 🧐
- Proteomics / Metaproteomics tutorial 🧐
- Proteomics / Protein FASTA Database Handling 🧐
- Proteomics / metaQuantome 3: Taxonomy 🧐
- Proteomics / Mass spectrometry imaging: Loading and exploring MSI data 🧐
- Proteomics / Label-free versus Labelled - How to Choose Your Quantitation Method 🧐
- Proteomics / Peptide and Protein Quantification via Stable Isotope Labelling (SIL) 🧐
- Proteomics / Detection and quantitation of N-termini (degradomics) via N-TAILS 🧐
- Proteomics / Clinical Metaproteomics 1: Database-Generation 🧐
- Proteomics / Peptide and Protein ID using SearchGUI and PeptideShaker 🧐
- Proteomics / Clinical Metaproteomics 2: Discovery 🧐
- Proteomics / Peptide and Protein ID using OpenMS tools 🧐
- Proteomics / Clinical Metaproteomics 3: Verification 🧐
- Proteomics / Annotating a protein list identified by LC-MS/MS experiments 🧐
- Proteomics / Clinical Metaproteomics 5: Data Interpretation 🧐
- Proteomics / metaQuantome 2: Function 🧐
- Proteomics / Secretome Prediction 🧐
- Proteomics / metaQuantome 1: Data creation 🧐
- Proteomics / Clinical Metaproteomics 4: Quantitation 🧐
- Microbiome / QIIME 2 Moving Pictures 🧐
- Microbiome / Analyses of metagenomics data - The global picture ✍️ 🧐
- Microbiome / Binning of metagenomic sequencing data 📝 🧐
- Microbiome / Assembly of metagenomic sequencing data ✍️ 🧐
- Microbiome / Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition ✍️ 🧐
- Microbiome / Building and Annotating Metagenome-Assembled Genomes (MAGs) from Short Metagenomics Paired Reads ✍️ 🧐
- Microbiome / Taxonomic Profiling and Visualization of Metagenomic Data ✍️ 🧐
- Microbiome / 16S Microbial analysis with Nanopore data 🧐
- Microbiome / Building an amplicon sequence variant (ASV) table from 16S data using DADA2 ✍️ 🧐
- Microbiome / Metatranscriptomics analysis using microbiome RNA-seq data (short) ✍️ 🧐
- Microbiome / 16S Microbial Analysis with mothur (short) ✍️ 🧐
- Microbiome / QIIME 2 Cancer Microbiome Intervention 🧐
- Microbiome / Calculating α and β diversity from microbiome taxonomic data ✍️ 🧐
- Microbiome / Metatranscriptomics analysis using microbiome RNA-seq data ✍️ 🧐
- Microbiome / Antibiotic resistance detection 🧐
- Microbiome / Remove contamination and host reads ✍️
- Microbiome / 16S Microbial Analysis with mothur (extended) ✍️ 🧐
- Microbiome / Query an annotated mobile genetic element database to identify and annotate genetic elements (e.g. plasmids) in metagenomics data ✍️ 🧐
- Microbiome / Identification of the micro-organisms in a beer using Nanopore sequencing ✍️ 🧐
- Sequence analysis / Mapping ✍️ 🧐
- Sequence analysis / SARS-CoV-2 Viral Sample Alignment and Variant Visualization 🧐
- Sequence analysis / Removal of human reads from SARS-CoV-2 sequencing data 🧐
- Sequence analysis / Quality Control ✍️ 🧐
- Sequence analysis / Quality and contamination control in bacterial isolate using Illumina MiSeq Data ✍️ 🧐
- Earth Data science / Functionally Assembled Terrestrial Ecosystem Simulator (FATES) 🧐
- Foundations of Data Science / Make & Snakemake 🧐
- Foundations of Data Science / Advanced R in Galaxy ✍️
- Foundations of Data Science / Learning about one gene across biological resources and formats ✍️ 🧐
- Foundations of Data Science / Python - Warm-up for statistics and machine learning 📝 🧐
- Foundations of Data Science / Advanced SQL 🧐
- Foundations of Data Science / One protein along the UniProt page ✍️ 🧐
- Foundations of Data Science / R basics in Galaxy 📝 🧐
- Ecology / Checking expected species and contamination in bacterial isolate ✍️
- Ecology / RAD-Seq to construct genetic maps 🧐
- Ecology / Preparing genomic data for phylogeny reconstruction 🧐
- Ecology / RAD-Seq Reference-based data analysis 🧐
- Ecology / Species distribution modeling ✍️
- Ecology / RAD-Seq de-novo data analysis 🧐
- Ecology / Regional GAM ✍️
- Teaching and Hosting Galaxy training / Motivation and Demotivation ✍️ 🧐
- Teaching and Hosting Galaxy training / Set up a Galaxy for Training ✍️ 🧐
- Teaching and Hosting Galaxy training / Hybrid training ✍️
- Teaching and Hosting Galaxy training / Training techniques to enhance learner participation and engagement ✍️ 🧐
- Teaching and Hosting Galaxy training / Live Coding is a Skill ✍️
- Teaching and Hosting Galaxy training / Asynchronous training ✍️
- Teaching and Hosting Galaxy training / Assessment and feedback in training and teachings ✍️ 🧐
- Teaching and Hosting Galaxy training / Galaxy Admin Training 🧐
- Teaching and Hosting Galaxy training / Running a workshop as an instructor ✍️
- Teaching and Hosting Galaxy training / Teaching experiences ✍️ 🧐
- Teaching and Hosting Galaxy training / Organizing a workshop ✍️
- Teaching and Hosting Galaxy training / Train-the-Trainer: putting it all together ✍️ 🧐
- Teaching and Hosting Galaxy training / Teaching online ✍️
- Galaxy Server administration / Galaxy Database schema 🧐
- Galaxy Server administration / Running Jobs on Remote Resources with Pulsar 🧐
- Galaxy Server administration / Galaxy Monitoring with Telegraf and Grafana 🧐
- Galaxy Server administration / Reference Data with CVMFS 🧐
- Galaxy Server administration / Connecting Galaxy to a compute cluster 🧐
- Galaxy Server administration / Distributed Object Storage 🧐
- Galaxy Server administration / Deploying a compute cluster in OpenStack via Terraform 🧐
- Galaxy Server administration / Galaxy Monitoring with gxadmin 🧐
- Galaxy Server administration / Galaxy Tool Management with Ephemeris 🧐
- Galaxy Server administration / Galaxy Monitoring with Reports 🧐
- Galaxy Server administration / Data Libraries 🧐
- Galaxy Server administration / External Authentication 🧐
- Galaxy Server administration / Galaxy Installation with Ansible 🧐
- Galaxy Server administration / Ansible 🧐
- Computational chemistry / Setting up molecular systems 🧐
- Computational chemistry / Analysis of molecular dynamics simulations 🧐
- Computational chemistry / Running molecular dynamics simulations using NAMD 🧐
- Computational chemistry / Running molecular dynamics simulations using GROMACS 🧐
- Metabolomics / Mass spectrometry imaging: Finding differential analytes 🧐
- Metabolomics / Mass spectrometry imaging: Examining the spatial distribution of analytes 🧐
- Visualisation / Genomic Data Visualisation with JBrowse 🧐
- Evolution / Tree thinking for tuberculosis evolution and epidemiology 🧐
- Evolution / Phylogenetic analysis for bacterial comparative genomics ✍️
- Single Cell / Pre-processing of Single-Cell RNA Data ✍️ 🧐
- Single Cell / Combining single cell datasets after pre-processing 🧐
- Single Cell / Understanding Barcodes 🧐
- Single Cell / Pre-processing of 10X Single-Cell RNA Datasets 🧐
- Single Cell / Clustering 3K PBMCs with Scanpy ✍️
- Single Cell / Downstream Single-cell RNA analysis with RaceID 🧐
- Statistics and machine learning / Pretraining a Large Language Model (LLM) from Scratch on DNA Sequences ✍️ 🧐
- Statistics and machine learning / Basics of machine learning 🧐
- Statistics and machine learning / Machine learning: classification and regression ✍️ 🧐
- Statistics and machine learning / Neural networks using Python 🧐
- Statistics and machine learning / Optimizing DNA Sequences for Biological Functions using a DNA LLM ✍️ 🧐
- Statistics and machine learning / Regulations/standards for AI using DOME 📝 🧐
- Statistics and machine learning / Fine-tuning a LLM for DNA Sequence Classification ✍️ 🧐
- Statistics and machine learning / Interval-Wise Testing for omics data 🧐
- Statistics and machine learning / Age prediction using machine learning 🧐
- Statistics and machine learning / Predicting Mutation Impact with Zero-shot Learning using a pretrained DNA LLM ✍️ 🧐
- Statistics and machine learning / Deep Learning (without Generative Artificial Intelligence) using Python 🧐
- Statistics and machine learning / PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis 🧐
- Statistics and machine learning / Generating Artificial Yeast DNA Sequences using a DNA LLM ✍️ 🧐
- Statistics and machine learning / Foundational Aspects of Machine Learning using Python 📝 🧐
- Galaxy Community Building / Creation of resources listing Galaxy workflow for your community ✍️ 🧐
- Galaxy Community Building / Creating a Special Interest Group 🧐
- Galaxy Community Building / Creation of the labs in the different Galaxy instances for your community ✍️ 🧐
- 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 / Creation of a Galaxy tutorial table for your community ✍️ 🧐
- Epigenetics / DNA Methylation data analysis 🧐
- Epigenetics / Infinium Human Methylation BeadChip 🧐
- Epigenetics / Identification of the binding sites of the Estrogen receptor ✍️ 🧐
- Epigenetics / Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1) 🧐
- Epigenetics / Formation of the Super-Structures on the Inactive X ✍️ 🧐
- Epigenetics / Hi-C analysis of Drosophila melanogaster cells using HiCExplorer 🧐
- Introduction to Galaxy Analyses / Von Peaks zu Genen ✍️
- Transcriptomics / Referenzbasierte RNA-Seq-Datenanalyse ✍️
- Sequence analysis / Mapping ✍️
- Sequence analysis / Qualitätskontrolle ✍️
- Foundations of Data Science / Lernen über ein Gen über biologische Ressourcen und Formate hinweg ✍️
- Foundations of Data Science / Ein Protein entlang der UniProt-Seite ✍️
- Introduction to Galaxy Analyses / De picos a genes ✍️
- Transcriptomics / Análisis de datos RNA-Seq basados en referencias ✍️
- Sequence analysis / Mapeo ✍️
- Sequence analysis / Control de calidad ✍️
- Foundations of Data Science / Aprendizaje sobre un gen a través de recursos y formatos biológicos ✍️
- Foundations of Data Science / Una proteína a lo largo de la página UniProt ✍️
- Introduction to Galaxy Analyses / Dai picchi ai geni ✍️
- Transcriptomics / Analisi dei dati RNA-Seq basata su riferimenti ✍️
- Sequence analysis / Mappatura ✍️
- Sequence analysis / Controllo qualità ✍️
- Foundations of Data Science / Imparare a conoscere un gene attraverso risorse e formati di dato biologici ✍️
- Foundations of Data Science / Una proteina lungo la pagina UniProt ✍️
65 Slides
- Development in Galaxy / Galaxy from a developer point of view ✍️ 🧐
- Using Galaxy and Managing your Data / Getting data into Galaxy 🧐
- Development in Galaxy / Prerequisites for building software/conda packages 🧐
- Development in Galaxy / Galaxy Interactive Tours ✍️ 🧐
- Development in Galaxy / Tool Shed: sharing Galaxy tools ✍️ 🧐
- Development in Galaxy / Tool Dependencies and Conda 🧐
- Development in Galaxy / Visualizations: JavaScript Plugins 🧐
- Development in Galaxy / Tool development and integration into Galaxy ✍️ 🧐
- Development in Galaxy / Scripting Galaxy using the API and BioBlend 🧐
- Development in Galaxy / Tool Dependencies and Containers 🧐
- Development in Galaxy / Galaxy Interactive Environments 🧐
- Development in Galaxy / Galaxy Webhooks 🧐
- Development in Galaxy / Generic plugins 🧐
- Genome Annotation / Introduction to Genome Annotation 🧐
- Genome Annotation / Essential genes detection with Transposon insertion sequencing 🧐
- Genome Annotation / Genome annotation with Prokka 🧐
- Assembly / Unicycler Assembly 🧐
- Assembly / An Introduction to Genome Assembly 🧐
- Assembly / De Bruijn Graph Assembly 🧐
- Introduction to Galaxy Analyses / Options for using Galaxy 🧐
- Introduction to Galaxy Analyses / Introduction to Galaxy ✍️ 🧐
- Introduction to Galaxy Analyses / A Short Introduction to Galaxy 🧐
- Contributing to the Galaxy Training Material / Contributing with GitHub via command-line ✍️ 🧐
- Contributing to the Galaxy Training Material / Overview of the Galaxy Training Material ✍️ 🧐
- Contributing to the Galaxy Training Material / Creating Slides ✍️ 🧐
- Variant Analysis / Introduction to Variant analysis ✍️ 🧐
- Transcriptomics / Visualization of RNA-Seq results with CummeRbund 🧐
- Transcriptomics / Introduction to Transcriptomics ✍️ 🧐
- Proteomics / Introduction to proteomics, protein identification, quantification and statistical modelling 🧐
- Microbiome / Introduction to Microbiome Analysis ✍️ 🧐
- Sequence analysis / Mapping 🧐
- Sequence analysis / Quality Control ✍️ 🧐
- Earth Data science / Introduction to climate data 🧐
- Earth Data science / Functionally Assembled Terrestrial Ecosystem Simulator (FATES) 🧐
- Foundations of Data Science / Bioinformatics Data Types and Databases 🧐
- Galaxy Server administration / Galaxy from an administrator's point of view 🧐
- Galaxy Server administration / Server: Other 🧐
- Galaxy Server administration / Docker and Galaxy ✍️ 🧐
- Galaxy Server administration / Connecting Galaxy to a compute cluster 🧐
- Galaxy Server administration / User, Role, Group, Quota, and Authentication managment 🧐
- Galaxy Server administration / Advanced customisation of a Galaxy instance 🧐
- Metabolomics / Introduction to Metabolomics 🧐
- Visualisation / Visualisations in Galaxy 🧐
- Statistics and machine learning / Neural networks using Python 🧐
- Statistics and machine learning / Regulations/standards for AI using DOME 🧐
- Statistics and machine learning / Deep Learning (without Generative Artificial Intelligence) using Python 🧐
- Epigenetics / Introduction to ChIP-Seq data analysis ✍️ 🧐
- Epigenetics / EWAS Epigenome-Wide Association Studies Introduction 🧐
- Epigenetics / ChIP-seq data analysis ✍️ 🧐
- Epigenetics / Introduction to DNA Methylation data analysis 🧐
96 FAQs
- Average Nucleotide Identity (ANI): A Measure of Genomic Similarity
- ANI threshold for dereplication
- CheckM2 vs CheckM
- How do I add my community to the Galaxy CoDex?
- Thanks!
- How can I get started with contributing?
- What is a Codex?
- Aggiunta di un tag ✍️
- Añadir una etiqueta ✍️
- Hinzufügen eines Tags ✍️
- Adding a tag
- Modifica del tipo di dato ✍️
- Ändern des Datentyps ✍️
- Changing the datatype
- 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
- Upload few files (1-10)
- Upload many files (>10) via FTP
- The tutorial uses the normalised count table for visualisation. What about using VST normalised counts or rlog normalised counts?
- FASTQ format
- What is Galaxy?
- GTN ADR: Image Storage
- GTN ADR: Why Jekyll and not another Static Site Generator (SSG)
- GTN Architectural Decision Record Template
- What is this website?
- How can I advertise the training materials on my posters?
- What audiences are the tutorials for?
- How can I cite the GTN?
- How is the content licensed?
- Sustainability of the training-material and metadata
- What are the tutorials for?
- 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 ✍️
- Créer un nouvel history
- Erstellen eines neuen Verlaufs ✍️
- Creating a new history
- Importing a history
- Rinominare una cronologia ✍️
- Umbenennen eines Verlaufs ✍️
- Renaming a history
- When is the "infer experiment" tool used in practice?
- What are the best practices for teaching with Galaxy?
- What Galaxy instance should I use for my training?
- How do I get help?
- Where do I start?
- Launch RStudio
- Kraken2 and the k-mer approach for taxonomy classification
- How can I get help?
- Where do I start?
- Where can I run the hands-on tutorials?
- How do I use this material?
- Maximum MAG contamination percentage
- Minimum MAG completeness percentage
- Minimum MAG length
- Getting your API key
- Quality Scores
- Qualitätswerte ✍️
- Puntuación de calidad ✍️
- Punteggi di qualità ✍️
- Is it possible to visualize the RNA STAR bam file using the JBrowse tool?
- In 'infer experiments' I get unequal numbers, but in the IGV it looks like it is unstranded. What does this mean?
- What is Taxonomy?
- 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
- Add genome and annotations to IGV from Galaxy
- Add Mapped reads track to IGV from Galaxy
- Annotate a workflow
- Get the workflow invocation
- Importing a workflow using the Tool Registry Server (TRS) search
- Make a workflow public
- Running a workflow
18 Video Recordings
- Genome Annotation / Bacterial Genome Annotation 💬 🗣
- Contributing to the Galaxy Training Material / Creating a new tutorial 🗣
- Transcriptomics / Reference-based RNA-Seq data analysis 🗣
- Microbiome / Assembly of metagenomic sequencing data 💬 🗣
- Microbiome / Building and Annotating Metagenome-Assembled Genomes (MAGs) from Short Metagenomics Paired Reads 💬 🗣
- Microbiome / Taxonomic Profiling and Visualization of Metagenomic Data 🗣
- Microbiome / Antibiotic resistance detection 💬
- Microbiome / Identification of the micro-organisms in a beer using Nanopore sequencing 🗣
- Sequence analysis / Quality Control 💬
- Transcriptomics / Referenzbasierte RNA-Seq-Datenanalyse 🗣
- Sequence analysis / Qualitätskontrolle 💬
- Transcriptomics / Análisis de datos RNA-Seq basados en referencias 🗣
- Sequence analysis / Control de calidad 💬
- Transcriptomics / Analisi dei dati RNA-Seq basata su riferimenti 🗣
- Sequence analysis / Controllo qualità 💬
3 Events
Your Contributor Card
orcid Bérénice Batut
Editorial board member for Contributing to the Galaxy Training Material, Foundations of Data Science, Development in Galaxy, ELIXIR, Microbiome, Sequence analysis, Teaching and Hosting Galaxy training, Transcriptomics, Variant Analysis
307 Tutorials 96 FAQs 65 Slides Editorial Board 18 Videos 15 News 3 Events
GTN contributor since 2017-09
GitHub Activity
github Issues Reported
318 Merged Pull Requests
See all of the github Pull Requests and github Commits by Bérénice Batut.
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Fix kMetaShot assignment detail box
microbiome -
Add link for Microbiome track in GTA event schedule
template-and-tools -
Fix loading TOC issue
template-and-tools -
Fix URL to QIIME 2 Moving Pictures tutorial
microbiome -
[Microbiome] Add 2 modules to MAGs learning pathway
template-and-tools
Reviewed 435 PRs
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Update 2026-10-12-Advanced-Galaxy-Training.md: update registration deadline
template-and-tools -
Fix mags-building
microbiome -
add Microbiome analysis GTA track 2026
template-and-toolsGTA -
[Microbiome] Add tutorial for MAGs building and annotation from raw reads
faqsmicrobiome -
Galaxy Formation Avancée 2026
template-and-tools
News
Next GTN CoFest May 20, 2021
New Feature: FAQs
New Tutorial: Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data
New Tutorial: Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition
Enhancing Scientific Training: The Galaxy Training Network's Role in the ELIXIR Training Life-Cycle
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