|
KMID : 1132720060040020087
|
|
Genomics & Informatics
2006 Volume.4 No. 2 p.87 ~ p.93
|
|
|
Improved Algorithms for the Identification of Yeast Proteins and Significant Transcription Factor and Motif Analysis
|
|
Lee Seung-Won
Hong Seong-Eui
Lee Kyoo-Yeol
Choi Do-Il
Chung Hae-Young
Hur Cheol-Goo
|
|
|
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). Abbreviations: fBIND, fingerprinting using binomial distribution; GO, Gene Ontology; MS, Mass Spectrometry; PMF, peptide mass fingerprinting; nr, nonredundant; SGD, Saccharomyces Genome Database
|
|
|
KEYWORD
|
|
|
peptide mass fingerprinting, molecular weight search, binomial distribution, hypergeometric distribution
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
 
|