Improved Algorithms for the Identification of Yeast Proteins and Significant Transcription Factor and Motif Analysis
Genomics & Informatics
;
: 87-93, 2006.
Article
Dans Anglais
| 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).
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Facteurs de transcription
/
Laine
/
Levures
/
Cartographie peptidique
/
Protéines fongiques
/
Loi binomiale
/
Gene Ontology
Type d'étude:
Etude diagnostique
/
Étude pronostique
langue:
Anglais
Texte intégral:
Genomics & Informatics
Année:
2006
Type:
Article
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