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mokapot

imported

software/mokapot

Fast and flexible semi-supervised learning for peptide detection in Python

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

mokapot project image
GitHub preview card for wfondrie/mokapot. 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
unknown
Country
unknown
Homepage
mokapot.readthedocs.io
Repository
github.com/wfondrie/mokapot
Documentation
unknown
Tags
bioinformatics · conda · machine-learning · peptide-detection · percolator · proteomics · python
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.

  • ms2rescorepercolator · proteomics

    Modular and user-friendly platform for AI-assisted rescoring of peptide identifications

  • snakemake-ms-proteomicsbioinformatics · conda · proteomics

    Pipeline for automatic processing and quality control of mass spectrometry data

  • bioconda-recipesbioinformatics · conda

    Conda recipes for the bioconda channel.

  • bioinfo-notebookbioinformatics · conda

    🔬 Bioinformatics Notebook. Scripts for bioinformatics pipelines, with quick start guides for programs and video demonstrations.

  • kGWASflowbioinformatics · conda

    kGWASflow is a Snakemake workflow for performing k-mers-based GWAS.

  • sarekbioinformatics · conda

    Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing

sources
  1. api.github.com/repos/wfondrie/mokapot
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 52 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/48.json→ .entries["mokapot"]

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