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SQID: an intensity-incorporated protein identification algorithm for tandem mass spectrometry.
Li, Wenzhou; Ji, Li; Goya, Jonathan; Tan, Guanhong; Wysocki, Vicki H.
Afiliación
  • Li W; Department of Chemistry and Biochemistry, University of Arizona, Tucson, Arizona 85721, United States.
J Proteome Res ; 10(4): 1593-602, 2011 Apr 01.
Article en En | MEDLINE | ID: mdl-21204564
To interpret LC-MS/MS data in proteomics, most popular protein identification algorithms primarily use predicted fragment m/z values to assign peptide sequences to fragmentation spectra. The intensity information is often undervalued, because it is not as easy to predict and incorporate into algorithms. Nevertheless, the use of intensity to assist peptide identification is an attractive prospect and can potentially improve the confidence of matches and generate more identifications. On the basis of our previously reported study of fragmentation intensity patterns, we developed a protein identification algorithm, SeQuence IDentfication (SQID), that makes use of the coarse intensity from a statistical analysis. The scoring scheme was validated by comparing with Sequest and X!Tandem using three data sets, and the results indicate an improvement in the number of identified peptides, including unique peptides that are not identified by Sequest or X!Tandem. The software and source code are available under the GNU GPL license at http://quiz2.chem.arizona.edu/wysocki/bioinformatics.htm.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Péptidos / Algoritmos / Programas Informáticos / Espectrometría de Masas en Tándem Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Proteome Res Asunto de la revista: BIOQUIMICA Año: 2011 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Péptidos / Algoritmos / Programas Informáticos / Espectrometría de Masas en Tándem Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Proteome Res Asunto de la revista: BIOQUIMICA Año: 2011 Tipo del documento: Article País de afiliación: Estados Unidos