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Mining gene functional networks to improve mass-spectrometry-based protein identification.

Authors :
Ramakrishnan, Smriti R.
Vogel, Christine
Taejoon Kwon
Penalva, Luiz O.
Marcotte, Edward M.
Miranker, Daniel P.
Source :
Bioinformatics; Nov2009, Vol. 25 Issue 22, p2955-2961, 7p, 2 Diagrams, 2 Charts, 1 Graph
Publication Year :
2009

Abstract

Motivation: High-throughput protein identification experiments based on tandem mass spectrometry (MS/MS) often suffer from low sensitivity and low-confidence protein identifications. In a typical shotgun proteomics experiment, it is assumed that all proteins are equally likely to be present. However, there is often other evidence to suggest that a protein is present and confidence in individual protein identification can be updated accordingly. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
13674803
Volume :
25
Issue :
22
Database :
Complementary Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
47430153
Full Text :
https://doi.org/10.1093/bioinformatics/btp461