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Development of an Analysis Program of Type I Polyketide Synthase Gene Clusters Using Homology Search and Profile Hidden Markov Model
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  • Development of an Analysis Program of Type I Polyketide Synthase Gene Clusters Using Homology Search and Profile Hidden Markov Model
  • Development of an Analysis Program of Type I Polyketide Synthase Gene Clusters Using Homology Search and Profile Hidden Markov Model
저자명
Tae. Hong-Seok,Sohng. Jae-Kyung,Park. Kie-Jung
간행물명
Journal of microbiology and biotechnology
권/호정보
2009년|19권 2호|pp.140-146 (7 pages)
발행정보
한국미생물생명공학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

MAPSI(Management and Analysis for Polyketide Synthase Type I) has been developed to offer computational analysis methods to detect type I PKS(polyketide synthase) gene clusters in genome sequences. MAPSI provides a genome analysis component, which detects PKS gene clusters by identifying domains in proteins of a genome. MAPSI also contains databases on polyketides and genome annotation data, as well as analytic components such as new PKS assembly and domain analysis. The polyketide data and analysis component are accessible through Web interfaces and are displayed with diverse information. MAPSI, which was developed to aid researchers studying type I polyketides, provides diverse components to access and analyze polyketide information and should become a very powerful computational tool for polyketide research. The system can be extended through further studies of factors related to the biological activities of polyketides.