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Genomics Inform > Volume 4(2); 2006 > Article
Improved Algorithms for the Identification of Yeast Proteins and Significant Transcription Factor and Motif Analysis.
Seung Won Lee, Seong Eui Hong, Kyoo Yeol Lee, Do Il Choi, Hae Young Chung, Cheol Goo Hur
1Korea Research Institute of Bioscience and Biotechnology, Korea. hurlee@kribb.re.kr
2Pusan National University, Pusan, Korea.
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).
Keywords: peptide mass fingerprinting; molecular weight search; binomial distribution; hypergeometric distribution
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