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Error‐tolerant EST database searches by tandem mass spectrometry and multiTag software
Author(s) -
Liska Adam J.,
Sunyaev Shamil,
Shilov Ignat N.,
Schaeffer Dan A.,
Shevchenko Andrej
Publication year - 2005
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200401262
Subject(s) - tandem mass spectrometry , database , genome , computational biology , computer science , identification (biology) , matching (statistics) , software , database search engine , microsatellite , mass spectrometry , biology , chemistry , information retrieval , genetics , chromatography , programming language , search engine , mathematics , statistics , gene , allele , botany
Abstract The MultiTag method (Sunyaev et al., Anal. Chem. 2003 15 , 1307–1315) employs multiple error‐tolerant searches with peptide sequence tags (Mann and Wilm, Anal. Chem. 1994, 66 , 4390–4399) for the identification of proteins from organisms with unsequenced genomes. Here we demonstrate that the error‐tolerant capabilities of MultiTag increased the number of peptide alignments and improved the confidence of identifications in an EST database. The MultiTag outperformed conventional database searching software that only utilizes stringent matching of tandem mass spectra to nucleotide sequences of ESTs.