# danielecook/Awesome-Bioinformatics

A curated list of awesome Bioinformatics libraries and software.

Repository: https://github.com/danielecook/Awesome-Bioinformatics
Canonical: https://ross.abutalabs.com/products/awesome-bioinformatics
License Family: other
Topics: bioinformatics, awesome, awesome-list
Last push: 2026-04-07T14:29:34+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 76, release rhythm 35, longevity 100
- inputs: {"age_days": 4390, "days_push": 148, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4257, forks 726 (observed 2026-08-28T04:08:40.533679+00:00)

## What it is
A curated awesome-list of bioinformatics software, libraries, and resources, mostly command-line and open-source. It organizes tools by task such as sequence alignment, variant calling, assembly, and visualization.

## Use cases
- find bioinformatics tools for sequence alignment
- discover open-source genomics software
- learn what tools exist for variant calling
- find resources to become a bioinformatician
- locate RNA-Seq and ChIP-Seq analysis tools
- find genome visualization and browser tools

## When to choose
- you want a curated directory of bioinformatics software before searching from scratch
- you need to survey the tooling landscape for a sequencing or genomics task
- you are learning bioinformatics and want vetted resources and tutorials

## When to avoid
- you need a working tool rather than a list of links
- you need clinical-grade or validated pipelines with support
- you want a maintained software package rather than a reference catalog

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools, documentation
- domain: bioinformatics, awesome-lists, data-science
- platform: cross-platform, cli
- tags: awesome-list, bioinformatics, curated-list, genomics, sequencing

## Member repositories
- danielecook/Awesome-Bioinformatics (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:40.533679+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:22:07.350760+00:00, confidence not recorded.
  - readme: https://github.com/danielecook/Awesome-Bioinformatics (fetched 2026-08-28T04:08:40.533679+00:00, sha 25294ac0c6bf)
- Data as of 2026-08-30T08:39:29.467469+00:00.