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Open Mass Spectrometry Search Algorithm
- Publication Year :
- 2004
-
Abstract
- Large numbers of MS/MS peptide spectra generated in proteomics experiments require efficient, sensitive and specific algorithms for peptide identification. In the Open Mass Spectrometry Search Algorithm (OMSSA), specificity is calculated by a classic probability score using an explicit model for matching experimental spectra to sequences. At default thresholds, OMSSA matches more spectra from a standard protein cocktail than a comparable algorithm. OMSSA is designed to be faster than published algorithms in searching large MS/MS datasets. Keywords: protein identification • algorithm • bioinformatics • mass spectrometry • proteomics • significance testing
- Subjects :
- Proteomics
Matching (graph theory)
PeptideProphet
Analytical chemistry
Mass spectrometry
Biochemistry
Quantitative Biology - Quantitative Methods
Mass Spectrometry
Peptide spectral library
Search algorithm
Significance testing
False Positive Reactions
Poisson Distribution
Databases, Protein
Quantitative Methods (q-bio.QM)
business.industry
Chemistry
Computational Biology
Proteins
Reproducibility of Results
Pattern recognition
General Chemistry
Peptide Fragments
ROC Curve
FOS: Biological sciences
Artificial intelligence
Mass spectrometry data format
business
Algorithms
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....eb841a42949c0f22e171c5eb708d7bac