Percolator
OMSSAPercolator is a software tool that enhances protein identification via MS/MS by interfacing the Open Mass Spectrometry Search Algorithm (OMSSA) with Percolator, a machine learning method for re-evaluating database search outcomes. In proteome studies, MS/MS spectra are pivotal for protein identification, and OMSSA is an open-source search engine employed for this purpose. This tool, OMSSAPercolator, improves the performance of protein identification by incorporating Percolator's post-search machine learning capabilities. It surpasses the conventional OMSSA scoring approach, yielding more accurate and reliable results. Developed using JAVA, OMSSAPercolator can be used either independently or seamlessly integrated into existing data analysis pipelines, enhancing the accuracy and quality of protein identification in MS/MS experiments.
Topic
Proteomics experiment;Proteomics;Statistics and probability;Machine learning
Detail
Operation: Blind peptide database search;Protein identification;Protein fragment weight comparison;Peptide identification;Target-Decoy;Validation of peptide-spectrum matches
Software interface: Command-line user interface
Language: C++
License: Apache License, Version 2.0
Cost: Free
Version name: 3.6.1
Credit: -
Input: -
Output: -
Contact: lukas.kall@scilifelab.se
Collection: -
Maturity: Mature
Publications
- Semi-supervised learning for peptide identification from shotgun proteomics datasets.
- Käll L, et al. Semi-supervised learning for peptide identification from shotgun proteomics datasets. Semi-supervised learning for peptide identification from shotgun proteomics datasets. 2007; 4:923-5. doi: 10.1038/nmeth1113
- https://doi.org/10.1038/nmeth1113
- PMID: 17952086
- PMC: -
Download and documentation
Documentation: https://github.com/percolator/percolator/wiki
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