loading...
SPIDER: Software for Protein Identification from Sequence Tags with De Novo Sequencing Error
Stanford, California August 16-August 19
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSB.2004.13324342004 IEEE Computational Systems Bioin ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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.


Suggestions