Improved algorithms for the identification of yeast proteins and significant transcrption factor and motif analysis

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Title
Improved algorithms for the identification of yeast proteins and significant transcrption factor and motif analysis
Author(s)
Seung-Won Lee; S E Hong; Kyoo-Yeol Lee; Doil Choi; H Jeong; Cheol-Goo Hur
Bibliographic Citation
Genomics & Informatics, vol. 4, no. 2, pp. 87-93
Publication Year
2006
Abstract
With the rapid development of MS tichnologiesy, 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).
Keyword
peptide mass fingerprintingmolecular weight searchbinomial distributionhypergeometric distribution
ISSN
I000-0158
Publisher
Korea Soc-Assoc-Inst
Type
Article
Appears in Collections:
1. Journal Articles > Journal Articles
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