| 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 |
|
PDF Links
Full text via DOI
Download Citation
