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LuooopsLuooops/skills/bioservices/SKILL.md

bioservices

Skill1 starsChanged 52 days agoNo licenceView on GitHub

Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.

  • Installs packages

14 other projects use a version of this, 14 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use alpha-vantage, uspto-database and 1 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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    Also in 4 projects that use this

  • yf8578Skill

    uspto-database

    Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.

    Also in 5 projects that use this

  • Google DeepMindSkill

    string-database

    Query the STRING database for protein-protein interactions (PPIs), functional enrichment, and homology. Use when the user asks about interactions between specific proteins, interaction evidence, confidence scores, protein interaction partners, or pathway enrichments.

    Also in 6 projects that use this

The file

We split this skill into the rules it gives an agent

8 rules. 5 are common, 1 is distinctive, and 2 are very specific to this project.

  • 5

    Common

    Most of the 14 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 14 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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