German Network for Bioinformatics Infrastructure Service, Training, Cooperations & Cloud Computing
de.NBI is a national, academic, and non-profit research infrastructure initiated in 2015 as a joint project of the Federal Ministry of Research, Technology and Space (BMFTR).
Members
These GTN contributors have noted that they are affiliated in some way with this organisation. This list is non-exhaustive, and randomly ordered.
Wolfgang Maier
Melanie Föll
Daniela Schneider
Pavankumar Videm
Leonid Kostrykin
Paul Zierep
Björn Grüning
Mira Kuntz
Teresa Müller
Mina Hojat Ansari
David López
Former Members
These individuals have noted that they previously were affiliated in some way with this organisation. This list is non-exhaustive.
Thomas Wollmann
Anika Erxleben
Helena Rasche
Gianmauro Cuccuru
Bérénice BatutContributions
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.
Tutorials
- Variant Analysis / Exome sequencing data analysis for diagnosing a genetic disease 💵
- Statistics and machine learning / A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy 💵
- Statistics and machine learning / Regression in Machine Learning 💵
- Statistics and machine learning / Classification in Machine Learning 💵
- Statistics and machine learning / Basics of machine learning 💵
- Statistics and machine learning / Fine tune large protein model (ProtTrans) using HuggingFace 💵
- Statistics and machine learning / Age prediction using machine learning 💵
- Statistics and machine learning / Clustering in Machine Learning 💵
- Statistics and machine learning / Machine learning: classification and regression 💵
- Statistics and machine learning / Introduction to deep learning 💵
- Transcriptomics / Reference-based RNA-Seq data analysis 💵
- 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 / Automating Galaxy workflows using the command line 💵
- Using Galaxy and Managing your Data / Understanding Galaxy history system 💵
- Introduction to Galaxy Analyses / Galaxy Basics for genomics 💵
- Introduction to Galaxy Analyses / From peaks to genes 💵
- Introduction to Galaxy Analyses / Introduction to Genomics and Galaxy 💵
- Development in Galaxy / JavaScript plugins 💵
- Development in Galaxy / Galaxy Webhooks 💵
- Imaging / Overview of the Galaxy OMERO-suite - Upload images and metadata in OMERO using Galaxy 💵
- Imaging / Segmentation of Anatomical Structures in Medical 3-D Images 💵
- Imaging / Using BioImage.IO models for image analysis in Galaxy 💵
- Proteomics / Mass spectrometry imaging: Loading and exploring MSI data 💵
- Proteomics / Detection and quantitation of N-termini (degradomics) via N-TAILS 💵
- Proteomics / Secretome Prediction 💵
- Proteomics / Peptide and Protein ID using OpenMS tools 💵
- Proteomics / Label-free versus Labelled - How to Choose Your Quantitation Method 💵
- Proteomics / Protein FASTA Database Handling 💵
- Proteomics / Peptide and Protein ID using SearchGUI and PeptideShaker 💵
- Proteomics / Peptide and Protein Quantification via Stable Isotope Labelling (SIL) 💵
- Teaching and Hosting Galaxy training / Running a workshop as an instructor 💵
- Galaxy Server administration / Customizing the look of Galaxy 💵
- Galaxy Server administration / Galaxy Monitoring with Reports 💵
- Galaxy Server administration / Customizing the look of Galaxy (Manual) 💵
- Galaxy Server administration / Connecting Galaxy to a compute cluster 💵
- Galaxy Server administration / Galaxy Database schema 💵
- 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 / Creating Interactive Galaxy Tours 💵
- Contributing to the Galaxy Training Material / Preview the GTN website as you edit your training material 💵
- Epigenetics / Hi-C analysis of Drosophila melanogaster cells using HiCExplorer 💵
- 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 💵
- Computational chemistry / High Throughput Molecular Dynamics and Analysis 💵
- Single Cell / Single-cell ATAC-seq standard processing with SnapATAC2 💵
- Single Cell / Pre-processing of Single-Cell RNA Data 💵
- Single Cell / GO Enrichment Analysis on Single-Cell RNA-Seq Data 💵
Learning Pathways
Events
- Workshop on high-throughput sequencing data analysis with Galaxy 💵
- Workshop on high-throughput sequencing data analysis with Galaxy 💵
- Galaxy Training Academy 2025 💵
- From Data to Discovery: Metagenomics, RNA-Seq - NGS Bioinformatics with Galaxy 💵
- From data to discovery - Galaxy workshop at University of Graz 💵
- 2025 Galaxy Admin Training (Brno) 💵
- How can I analyse my texts, media, and data in the humanities and social sciences? 💵
- Workshop on high-throughput sequencing data analysis with Galaxy 💵
- Galaxy Training Academy 2024 💵
News
Single cell subdomain re-launch: Unified and feedback-driven
Integrating the Galaxy Training Network into the Tool Form
