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Improved Algorithms for the Identification of Yeast Proteins and Significant Transcription Factor and Motif Analysis
Genomics & Informatics ; : 87-93, 2006.
Article in English | 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).
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Transcription Factors / Wool / Yeasts / Peptide Mapping / Fungal Proteins / Binomial Distribution / Gene Ontology Type of study: Diagnostic study / Prognostic study Language: English Journal: Genomics & Informatics Year: 2006 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Transcription Factors / Wool / Yeasts / Peptide Mapping / Fungal Proteins / Binomial Distribution / Gene Ontology Type of study: Diagnostic study / Prognostic study Language: English Journal: Genomics & Informatics Year: 2006 Type: Article