loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2004 IEEE Computational Systems Bioinformatics Conference (CSB'04)
SPIDER: Software for Protein Identification from Sequence Tags with De Novo Sequencing Error
Stanford, California
August 16-August 19
ISBN: 0-7695-2194-0
Yonghua Han, University of Western Ontario
Bin Ma, University of Western Ontario
Kaizhong Zhang, University of Western Ontario
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 paper describes the algorithms and features of the SPIDER software.
Index Terms:
protein identification, de novo sequencing, sequence tags, database search
Citation:
Yonghua Han, Bin Ma, Kaizhong Zhang, "SPIDER: Software for Protein Identification from Sequence Tags with De Novo Sequencing Error," csb, pp.206-215, 2004 IEEE Computational Systems Bioinformatics Conference (CSB'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.