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ionmob

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software/ionmob

An open-source prediction framework for peptide ion collision cross section (CCS) values with python.

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

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
ccs · collisional-cross-section · deep-learning · ion-mobility · ion-mobility-spectrometry · machine-learning · mass-spectrometry · proteomics
Regulatory
unknown
built by · 4

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.

  • IM2Deepcollisional-cross-section · ion-mobility · mass-spectrometry · proteomics

    Collisional cross-section prediction for modified and multiconformational peptides

  • rustimsion-mobility-spectrometry · mass-spectrometry · proteomics

    A Framework for IMS-MS Raw Data Processing written in Rust and Python.

  • ccsccs

    CCS: Generate Highly Accurate Single-Molecule Consensus Reads (HiFi Reads)

  • alphabasemass-spectrometry · proteomics

    Infrastructure of AlphaX ecosystem

  • alphadiamass-spectrometry · proteomics

    modular & open DIA search

  • alphamapmass-spectrometry · proteomics

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

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

    Machine-imported from GitHub search. Last push 2023-10-06, 15 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/45.json→ .entries["ionmob"]

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