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Genomics & Informatics ; : 87-93, 2006.
Artículo en Inglés | WPRIM | ID: wpr-96574

RESUMEN

With the rapid development of MS technologiesy, the demands for a more sophisticated MS interpretation algorithm haves grown as well. We have developed a new protein fingerprinting method using a binomial distribution, (fBIND). With the fBIND, we improved the performance accuracy of protein fingerprinting up to the maximum 49% (more than MOWSE) and 2% than(at a previous binomial distribution approach studied by of Wool et al.) as compared to the established algorithms. Moreover, we also suggest a the statistical approach to define the significance of transcription factors and motifs in the identified proteins based on the Gene Ontology (GO).


Asunto(s)
Distribución Binomial , Proteínas Fúngicas , Ontología de Genes , Mapeo Peptídico , Factores de Transcripción , Lana , Levaduras
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