Open AccessA linear programming model for protein inference problem in shotgun proteomics
Author(s) -
Ting Huang,
Zengyou He
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts540
Subject(s) - inference , computer science , shotgun proteomics , algorithm , artificial intelligence , proteomics , biology , biochemistry , gene
Assembling peptides identified from tandem mass spectra into a list of proteins, referred to as protein inference, is an important issue in shotgun proteomics. The objective of protein inference is to find a subset of proteins that are truly present in the sample. Although many methods have been proposed for protein inference, several issues such as peptide degeneracy still remain unsolved.
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