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.

Former Members

These individuals have noted that they previously were affiliated in some way with this organisation. This list is non-exhaustive.

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.

59 Tutorials

• Development in Galaxy / Galaxy Webhooks 💵
• Development in Galaxy / JavaScript plugins 💵
• Variant Analysis / Exome sequencing data analysis for diagnosing a genetic disease 💵
• Contributing to the Galaxy Training Material / Preview the GTN website as you edit your training material 💵
• Contributing to the Galaxy Training Material / Creating content in Markdown 💵
• Contributing to the Galaxy Training Material / Tools, Data, and Workflows for tutorials 💵
• Contributing to the Galaxy Training Material / Creating Interactive Galaxy Tours 💵
• Statistics and machine learning / Classification in Machine Learning 💵
• Statistics and machine learning / Age prediction using machine learning 💵
• Statistics and machine learning / Fine tune large protein model (ProtTrans) using HuggingFace 💵
• Statistics and machine learning / Clustering in Machine Learning 💵
• Statistics and machine learning / Introduction to deep learning 💵
• 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 / Basics of machine learning 💵
• Statistics and machine learning / Machine learning: classification and regression 💵
• Transcriptomics / Reference-based RNA-Seq data analysis 💵
• Teaching and Hosting Galaxy training / Running a workshop as an instructor 💵
• Galaxy Server administration / Customizing the look of Galaxy 💵
• Galaxy Server administration / Galaxy Database schema 💵
• Galaxy Server administration / Connecting Galaxy to a compute cluster 💵
• Galaxy Server administration / Galaxy Monitoring with Reports 💵
• Galaxy Server administration / Customizing the look of Galaxy (Manual) 💵
• Proteomics / Secretome Prediction 💵
• Proteomics / Protein FASTA Database Handling 💵
• Proteomics / Peptide and Protein ID using SearchGUI and PeptideShaker 💵
• Proteomics / Label-free versus Labelled - How to Choose Your Quantitation Method 💵
• Proteomics / Detection and quantitation of N-termini (degradomics) via N-TAILS 💵
• Proteomics / Peptide and Protein Quantification via Stable Isotope Labelling (SIL) 💵
• Proteomics / Peptide and Protein ID using OpenMS tools 💵
• Proteomics / Mass spectrometry imaging: Loading and exploring MSI data 💵
• Digital Humanities / Text-Mining Differences in Chinese Newspaper Articles 💵
• Digital Humanities / Introduction to Digital Humanities in Galaxy 💵
• Digital Humanities / Transcribing Audio and Video files with Automated Speech Recognition 💵
• Single Cell / Pre-processing of Single-Cell RNA Data 💵
• Single Cell / Single-cell ATAC-seq standard processing with SnapATAC2 💵
• Single Cell / GO Enrichment Analysis on Single-Cell RNA-Seq Data 💵
• Imaging / Segmentation of Anatomical Structures in Medical 3-D Images 💵
• Imaging / Overview of the Galaxy OMERO-suite - Upload images and metadata in OMERO using Galaxy 💵
• Imaging / Using BioImage.IO models for image analysis in Galaxy 💵
• Introduction to Galaxy Analyses / Galaxy Basics for genomics 💵
• Introduction to Galaxy Analyses / Introduction to Genomics and Galaxy 💵
• Introduction to Galaxy Analyses / From peaks to genes 💵
• Computational chemistry / High Throughput Molecular Dynamics and Analysis 💵
• Epigenetics / Hi-C analysis of Drosophila melanogaster cells using HiCExplorer 💵
• Epigenetics / Formation of the Super-Structures on the Inactive X 💵
• 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) 💵
• 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 / Accessing IIIF from within Galaxy 💵
• Using Galaxy and Managing your Data / Creating high resolution images of Galaxy Workflows 💵
• Using Galaxy and Managing your Data / Understanding Galaxy history system 💵
• Transcriptomics / Referenzbasierte RNA-Seq-Datenanalyse 💵
• Introduction to Galaxy Analyses / Von Peaks zu Genen 💵
• Transcriptomics / Análisis de datos RNA-Seq basados en referencias 💵
• Introduction to Galaxy Analyses / De picos a genes 💵
• Transcriptomics / Analisi dei dati RNA-Seq basata su riferimenti 💵
• Introduction to Galaxy Analyses / Dai picchi ai geni 💵

1 Learning Pathway

• Building and Annotating Metagenome-Assembled Genomes (MAGs) from Metagenomics Reads 💵

10 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 2026 💵
• Galaxy Training Academy 2024 💵

News

External Links

Website: https://www.denbi.de/

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