상세 정보

underline
Metadata Downloads : dc(xml) or Excel
Cited 0 time in scopus ci

Title 

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

Authors 

Seung-Won LeeS E HongKyoo-Yeol LeeDoil ChoiH JeongCheol-Goo Hur

Publisher 

Korea Genome Organization

Issue Date 

2006

Citation 

Genomics & Informatics, vol. 4, no. 2, pp. 87-93

Keywords 

peptide mass fingerprintingmolecular weight searchbinomial distributionhypergeometric distribution

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).

ISSN 

1598-866X

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


There are no files associated with this item.
qrcode

FusionCharts.
DSpace Software Coptright(c) 2010 MIT and Hewleft-Packard  /  KRIBB-REPOSITORY ( Email:jakim@kribb.re.kr)