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glow

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software/glow

An open-source toolkit for large-scale genomic analysis

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

glow project image
GitHub preview card for projectglow/glow. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
projectglow
Country
unknown
Documentation
unknown
Tags
delta · genomics · gwas · machine-learning · population-genetics · regression · spark
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.

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    Python toolkit for fast genotype I/O, ancestry analysis, population-genetics statistics, genotype QC, GWAS, and visualization

  • gorgenomics · gwas · spark

    GORpipe is a tool based on a genomic ordered relational architecture and allows analysis of large sets of genomic and phenotypic tabular data using declarative query language, in a parallel…

  • TileDB-VCFgenomics · gwas · spark

    Efficient variant-call data storage and retrieval library using the TileDB storage library.

  • ClawBiogenomics · population-genetics

    🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.

  • fwdpy11genomics · population-genetics

    Forward-time simulation in Python using fwdpp

  • get_phylomarkersgenomics · population-genetics

    A pipeline to select optimal markers for microbial phylogenomics and species tree estimation using the multispecies coalescent and concatenation approaches

sources
  1. api.github.com/repos/projectglow/glow
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-06-28, 307 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/60.json→ .entries["glow"]

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