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ursgal

imported

software/ursgal

Ursgal - universal Python module combining common bottom-up proteomics tools for large-scale analysis

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

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
ursgal
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
mass-spectrometry · ms-data · mzml · omics · peptide-identification · proteomics · proteomics-data · 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.

  • mzrecalmass-spectrometry · mzml · proteomics

    Recalibrate Mass Spectrometry data in mzML format

  • philosophermass-spectrometry · ms-data · proteomics

    PeptideProphet, PTMProphet, ProteinProphet, iProphet, Abacus, and FDR filtering

  • pyqmsmass-spectrometry · ms-data · proteomics

    pyQms, generalized, fast and accurate mass spectrometry data quantification

  • IRS_normalizationmass-spectrometry · proteomics · proteomics-data

    An exploration of internal reference scaling (IRS) normalization in isobaric tagging proteomics experiments.

  • pmultiqcmass-spectrometry · proteomics · proteomics-data

    A library for QC report based on MultiQC framework

  • TMT_analysis_examplesmass-spectrometry · proteomics · proteomics-data

    Examples of TMT data analyses using R. Links to notebooks and repositories. Also a few spectral counting analyses.

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

    Machine-imported from GitHub search. Last push 2026-07-20, 45 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/53.json→ .entries["ursgal"]

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