Literature DB >> 16108090

SPIDER: software for protein identification from sequence tags with de novo sequencing error.

Yonghua Han1, Bin Ma, Kaizhong Zhang.   

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 paper describes the algorithms and features of the SPIDER software.

Mesh:

Substances:

Year:  2005        PMID: 16108090     DOI: 10.1142/s0219720005001247

Source DB:  PubMed          Journal:  J Bioinform Comput Biol        ISSN: 0219-7200            Impact factor:   1.122


  69 in total

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7.  Spectral profiles, a novel representation of tandem mass spectra and their applications for de novo peptide sequencing and identification.

Authors:  Sangtae Kim; Nuno Bandeira; Pavel A Pevzner
Journal:  Mol Cell Proteomics       Date:  2009-03-02       Impact factor: 5.911

8.  In-depth analysis of tandem mass spectrometry data from disparate instrument types.

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Journal:  Mol Cell Proteomics       Date:  2008-07-24       Impact factor: 5.911

9.  A ranking-based scoring function for peptide-spectrum matches.

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10.  A hybrid, de novo based, genome-wide database search approach applied to the sea urchin neuropeptidome.

Authors:  Gerben Menschaert; Tom T M Vandekerckhove; Geert Baggerman; Bart Landuyt; Jonathan V Sweedler; Liliane Schoofs; Walter Luyten; Wim Van Criekinge
Journal:  J Proteome Res       Date:  2010-02-05       Impact factor: 4.466

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