danielecook/awesome-bioinformatics

A curated list of awesome Bioinformatics libraries and software.

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Summary Information

Updated 11 minutes ago
Type:Curated List / Learning ResourceCategory(s):Bioinformatics & Life SciencesScience & Industry
Added to GitGenius on September 16th, 2026
Created on August 27th, 2014
Open Issues & Pull Requests: 42 (+0)
GitHub issues: Enabled
Number of forks: 731
Total Stargazers: 4,291 (+0)
Total Subscribers: 168 (+0)

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Median issue/PR response: 418.5 days
Mean response time: 727.7 days
90th percentile: 1676.2 days
Tracked items: 3

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Open issues: 4
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 785 days
Stale 30+ days: 3
Stale 90+ days: 3

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Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Awesome Bioinformatics is a curated list of bioinformatics libraries and software.

The project addresses the challenge of discovering relevant tools and libraries within the broad bioinformatics ecosystem. Rather than attempting to be exhaustive, it focuses on curation—selecting and organizing resources that meet quality standards. The approach works by collecting links to established libraries and software packages alongside brief descriptions, making it easier for practitioners to find proven solutions for common bioinformatics tasks without having to search through the entire landscape of available options.

This resource suits developers and researchers who are new to bioinformatics or exploring unfamiliar problem domains within the field. It works well for teams building bioinformatics pipelines who need to evaluate existing tools before deciding whether to build custom solutions. The list is particularly valuable when you need a starting point for understanding what kinds of libraries exist for tasks like sequence analysis, genomics, proteomics, or other specialized bioinformatics domains, rather than having to discover tools through scattered documentation or word-of-mouth recommendations.

The project maintains an active curation model where the list is regularly updated to reflect changes in the bioinformatics software landscape. Contributions are welcomed from the community, allowing the resource to grow and adapt as new tools emerge and existing ones evolve. The maintainers respond to submissions and feedback, indicating ongoing engagement with keeping the collection current and relevant to practitioners in the field.