DocumentCode :
3408597
Title :
SPIDER: software for protein identification from sequence tags with de novo sequencing error
Author :
Han, Yonghua ; Ma, Bin ; Zhang, Kaizhong
Author_Institution :
Western Ontario Univ., London, Ont., Canada
fYear :
2004
fDate :
16-19 Aug. 2004
Firstpage :
206
Lastpage :
215
Abstract :
For the identification of novel proteins using MS/MS, de novo sequencing software computes one or several possible amino acid sequences (called sequence tags) for each MS/MS spectrum. Those tags are then used to match, accounting amino acid mutations, the sequences in a protein database. If the de novo sequencing gives correct tags, the homologs of the proteins can be identified by this approach and software such as MS-BLAST is available for the matching. However, de novo sequencing very often gives only partially correct tags. The most common error is that a segment of amino acids is replaced by another segment with approximately the same masses. We developed a new efficient algorithm to match sequence tags with errors to database sequences for the purpose of protein and peptide identification. A software package, SPIDER, was developed and made available on Internet for free public use. This work describes the algorithms and features of the SPIDER software.
Keywords :
biology computing; mass spectra; molecular biophysics; proteins; Internet; MS-BLAST; SPIDER software; amino acid mutations; amino acid sequences; database sequences; de novo sequencing error; peptide identification; protein database; protein identification; sequence tags; sequence tags matching; tandem mass spectroscopy; Amino acids; Computer errors; Computer science; Mass spectroscopy; Peptides; Proteins; Sequences; Software packages; Spatial databases; Technical Activities Guide -TAG;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Systems Bioinformatics Conference, 2004. CSB 2004. Proceedings. 2004 IEEE
Print_ISBN :
0-7695-2194-0
Type :
conf
DOI :
10.1109/CSB.2004.1332434
Filename :
1332434
Link To Document :
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