Interpretation of proteomics identification results
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Updated
Nov 26, 2025 - Java
Interpretation of proteomics identification results
Highly adaptable common interface for proteomics search and de novo engines
A Comet-based, best practices proteomics pipeline.
MetaProteomeAnalyzer (MPA) software for analyzing and visualizing MS-based metaproteomics data.
Wrapping script automating execution of Proteomic search engines, such as MSFragger.
Portable Proteomics Pipeline
This project builds machine learning models to automatically detect and classify protein complexes in cryo-electron tomography (cryoET) images, enabling scalable analysis of cellular structures and supporting advanced biological and medical research.
A pipeline to detect domains in cryo-EM density map by parsing domains from AlphaFold databases and fitting into the map for the best hits.
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