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PROSPECT

imported

data/prospect

Proteomics Mass Spectrometry Datasets for Machine Learning

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

record
Category
Data & Standards
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
wilhelm-lab
Country
unknown
Documentation
unknown
Tags
annotations · dataset · deep-learning · fragment-ions · machine-learning · mass-spectrometry · peptide-sequences · peptides
Regulatory
unknown
built by · 2

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.

  • dlomixmass-spectrometry · peptide-sequences · peptides

    Python framework for Deep Learning in Proteomics

  • peptacularmass-spectrometry · peptide-sequences · peptides

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

  • IM2Deepmass-spectrometry · peptides

    Collisional cross-section prediction for modified and multiconformational peptides

  • eggnog-mapperannotations

    Fast genome-wide functional annotation through orthology assignment

  • Annotations plugin for EOV, a lightweight WSI viewer.

  • LabelSlideannotations

    LabelSlide is a slide annotation tool and label object bounding boxes in virtual slides (generally used in pathology)

sources
  1. api.github.com/repos/wilhelm-lab/PROSPECT
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-08-16, 22 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/5.json→ .entries["prospect"]

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