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Awesome Bioinformatics

github.com/danielecook/Awesome-Bioinformatics Science, Math & Technology Open-source project

A curated GitHub list gathers bioinformatics libraries and software for browsing and discovery.

Visit Awesome Bioinformatics 24 alternatives
github.com/danielecook/Awesome-Bioinformatics
Awesome Bioinformatics homepage screenshot

About Awesome Bioinformatics

A GitHub repository that maintains a curated list of bioinformatics software, libraries and learning resources. Entries are grouped into sections such as package suites, data downloading and compression, data processing utilities, next-generation sequencing, workflow managers, pipelines, sequence alignment, variant calling and file utilities, Python modules, visualization, genome browsers and database access, plus resource sections covering RNA-Seq, ChIP-Seq, blogs and YouTube channels. The list is described as mostly command line based and free or open-source, and the repository includes a contribution guide for people who want to add entries.

Key features

  • Curated links to bioinformatics software, libraries and resources
  • Sections for alignment, variant calling, visualization and workflow managers
  • Language and platform package suites including Python, R, Perl, Julia, Rust, Go, Java, C++
  • Resource sections on RNA-Seq, ChIP-Seq, blogs and YouTube channels
  • Listed tools described as mostly command line based, free or open source
  • Contributing guide and markdown lint configuration for submissions
Best for: Researchers, students and developers who want a single starting point for discovering bioinformatics tools and learning resources across many tasks and languages.
Good for
  • Organizes tools by task, from data download and compression through alignment, variant calling and annotation
  • Covers many programming languages and platforms in its package suites section
  • Openly invites community contributions through a contributing guide
Watch out for
  • Entries are brief one-line descriptions with paper or web links, so details require visiting external sites
  • The long table of contents spans software and non-software resources, which takes scanning to navigate
  • Pricing and licensing details for individual listed tools are not stated

Awesome Bioinformatics at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Not stated
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026
technology

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Awesome Bioinformatics FAQ

How can I add a tool to this list?
The repository includes a CONTRIBUTING.md file, and the page invites readers to contribute.
What kinds of tools are covered?
Sections cover package suites, data tools, data processing, next-generation sequencing, workflow managers, pipelines, sequence alignment, quantification, variant calling, BAM/VCF/GFF utilities, Python modules, visualization and database access.
Does it include learning material as well as software?
Yes. Alongside software and libraries, the list has resource sections such as Becoming a Bioinformatician, Sequencing, RNA-Seq, ChIP-Seq, YouTube channels and playlists, and blogs.
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Listing maintained by Chris McClure and the WebIndexly editors · Updated Oct 11, 2026 · How we rank