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training-material

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software/training-material

A collection of Galaxy-related training material

Machine-generated from the listed sources and not yet reviewed by a human.

training-material project image
GitHub preview card for galaxyproject/training-material. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
galaxyproject
Country
unknown
Documentation
unknown
Tags
chip-seq · hacktoberfest · materials · metagenomics · ngs · proteomics · rnaseq · training
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • NGS-variants-trainingngs · training

    GitHub for the SIB courses NGS - Genome variant analysis

  • DAtestmetagenomics · proteomics · rnaseq

    Compare different differential abundance and expression methods

  • deepToolschip-seq · ngs

    Tools to process and analyze deep sequencing data.

  • pygtftkchip-seq · ngs

    A python package and a set of shell commands to handle GTF files

  • seq2sciencechip-seq · ngs

    Automated and customizable preprocessing of Next-Generation Sequencing data, including full (sc)ATAC-seq, ChIP-seq, and (sc)RNA-seq workflows. Works equally easy with public as local data.

  • NGSOmics_Programmingchip-seq · proteomics

    Computational biology/bioinformatics workflows, codes, tech & concept notes on NGS data

sources
  1. api.github.com/repos/galaxyproject/training-material
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 367 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/51.json→ .entries["training-material"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.