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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.

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.

  • sarekbioinformatics · conda

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

  • V-pipebioinformatics · conda

    V-pipe is a pipeline designed for analysing NGS data of short viral genomes

  • CATEconda

    A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests and viral simulations at scale. Related manuscripts: https://doi.org/10.1111/2041-210X.14168 and…

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"]

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