peptacular
importedsoftware/peptacular
A Python package for peptide sequence analysis built around ProForma 2.1 notation. Calculate masses, generate fragments, predict isotopic patterns, and more.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- tacular-omics
- Country
- unknown
- Repository
- github.com/tacular-omics/peptacular
- Documentation
- unknown
- Tags
- bioinformatics · mass-spectrometry · peptide-identification · peptide-sequences · peptides · protein · proteomics · python
- 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 · proteomics
Python framework for Deep Learning in Proteomics
- PROSPECTmass-spectrometry · peptide-sequences · peptides
Proteomics Mass Spectrometry Datasets for Machine Learning
- alphadiabioinformatics · mass-spectrometry · peptide-identification · proteomics
modular & open DIA search
- IM2Deepmass-spectrometry · peptides · proteomics
Collisional cross-section prediction for modified and multiconformational peptides
- 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.
- api.github.com/repos/tacular-omics/peptacularretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-10, 18 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/56.json→ .entries["peptacular"]
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