Improved Algorithms for the Identification of Yeast Proteins and Significant Transcription Factor and Motif Analysis
Genomics & Informatics
;
: 87-93, 2006.
Artículo
en Inglés
| WPRIM
| ID: wpr-96574
ABSTRACT
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).
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Factores de Transcripción
/
Lana
/
Levaduras
/
Mapeo Peptídico
/
Proteínas Fúngicas
/
Distribución Binomial
/
Ontología de Genes
Tipo de estudio:
Estudio diagnóstico
/
Estudio pronóstico
Idioma:
Inglés
Revista:
Genomics & Informatics
Año:
2006
Tipo del documento:
Artículo
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