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alphadia

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software/alphadia

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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
MannLabs
Country
unknown
Documentation
unknown
Tags
bioinformatics · mass-spectrometry · open-source · peptide-identification · proteomics
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.

  • peptacularbioinformatics · mass-spectrometry · peptide-identification · proteomics

    A Python package for peptide sequence analysis built around ProForma 2.1 notation. Calculate masses, generate fragments, predict isotopic patterns, and more.

  • delpimass-spectrometry · peptide-identification · proteomics

    DelPi: Deep Learning-based Peptide Identification Search Engine

  • ms2pipmass-spectrometry · peptide-identification · proteomics

    MS²PIP: Fast and accurate peptide spectrum prediction for multiple fragmentation methods, instruments, and labeling techniques.

  • PepQuerymass-spectrometry · peptide-identification · proteomics

    PepQuery: a targeted peptide search engine

  • protVizmass-spectrometry · peptide-identification · proteomics

    Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics

  • psm_utilsmass-spectrometry · peptide-identification · proteomics

    Common utilities for parsing and handling peptide-spectrum matches and search engine results in Python

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

    Machine-imported from GitHub search. Last push 2026-07-30, 111 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/7.json→ .entries["alphadia"]

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