PROSPECT
importeddata/prospect
Proteomics Mass Spectrometry Datasets for Machine Learning
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- wilhelm-lab
- Country
- unknown
- Homepage
- wilhelm-lab.github.io/PROSPECT/
- Repository
- github.com/wilhelm-lab/PROSPECT
- Documentation
- unknown
- Tags
- annotations · dataset · deep-learning · fragment-ions · machine-learning · mass-spectrometry · peptide-sequences · peptides
- Regulatory
- unknown
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.
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.
- PeptideFragmenterStreamlitAppmass-spectrometry · peptide-sequences · peptides
A peptide fragment ion calculator made with streamlit
- ProteinCleaverStreamlitAppmass-spectrometry · peptide-sequences · peptides
Protein Cleaver is a versatile tool for protein analysis and digestion.
- IM2Deepmass-spectrometry · peptides
Collisional cross-section prediction for modified and multiconformational peptides
- eggnog-mapperannotations
Fast genome-wide functional annotation through orthology assignment
- api.github.com/repos/wilhelm-lab/PROSPECTretrieved 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 →
/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.