openmedical/registry
← registry

pyXLMS

imported

software/pyxlms

A python package to process protein cross-linking data.

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

pyXLMS project image
GitHub preview card for hgb-bin-proteomics/pyXLMS. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
hgb-bin-proteomics
Country
unknown
Homepage
hgb-bin-proteomics.github.io/pyXLMS/
Repository
github.com/hgb-bin-proteomics/pyXLMS
Documentation
unknown
Tags
cross-linking · crosslinker · crosslinking · gui · interaction · interactomics · mass · mass-spectrometry · package · ppi · protein · proteomics · python · pyxlms · spectrometry · webapp · xlms
Regulatory
unknown
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.

  • annotatorcross-linking · mass-spectrometry · proteomics

    A simple tool to help you manually discover the depths of your (complex) spectra, one spectrum at a time.

  • mzcorecross-linking · mass-spectrometry · proteomics

    A Rust library for peptide centric mass spec calculations centered around PSI standards and handling complex cases robustly

  • sparkmsmass · proteomics

    Spark package to perform downstream analysis of big data proteomics

  • xiRTcrosslinking · proteomics

    Multi-Dimensional Retention Time Prediction for Linear and Crosslinked Peptides

  • MASSIVEChemmass-spectrometry · spectrometry

    MASSIVEChem is a pip-installable package centred around mass spectrometry

  • alphamapgui · mass-spectrometry · proteomics

    An open-source Python package for the visual annotation of proteomics data with sequence specific knowledge.

sources
  1. api.github.com/repos/hgb-bin-proteomics/pyXLMS
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-19, 4 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/6.json→ .entries["pyxlms"]

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