PAW_pipeline
importedprotocols/paw-pipeline
A Comet-based, best practices proteomics pipeline.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Protocols & Guidelines
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/pwilmart/PAW_pipeline
- Documentation
- unknown
- Tags
- comet · protein-identification · protein-inference · proteomics · python3 · tmt
- 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.
- pout2protprotein-inference · proteomics
Pout2Prot converts Percolator output files to protein group and subgroup files using Occam's razor or anti-Occam's razor. These output files can directly be used in Prophane for further downstream…
- pyproteininferenceprotein-inference · proteomics
Python Package for running protein inference algorithms on tab-formatted tandem MS/MS search results.
- alphaquantproteomics · tmt
An open-source Python package for accurate and sensitive peptide and protein quantification.
- quantmsproteomics · tmt
Quantitative mass spectrometry workflow. Currently supports proteomics experiments with complex experimental designs for DDA-LFQ, DDA-Isobaric and DIA-LFQ quantification.
- TMT_analysis_examplesproteomics · tmt
Examples of TMT data analyses using R. Links to notebooks and repositories. Also a few spectral counting analyses.
- annotationsproteomics · python3
GUI tool to add rich annotations to PAW summary files from Swiss-Prot flat text files.
- api.github.com/repos/pwilmart/PAW_pipelineretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-03-21, 40 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/40.json→ .entries["paw-pipeline"]
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