Component-based software architecture for biosystem reverse engineering

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dc.contributor.authorLee, Doheonko
dc.date.accessioned2013-03-06T12:59:32Z-
dc.date.available2013-03-06T12:59:32Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2005-09-
dc.identifier.citationBIOTECHNOLOGY AND BIOPROCESS ENGINEERING, v.10, pp.400 - 407-
dc.identifier.issn1226-8372-
dc.identifier.urihttp://hdl.handle.net/10203/87039-
dc.description.abstractReverse engineering is defined as the process where the internal structures and dynamics of a given system are inferred and analyzed from external observations and relevant knowledge. The first part of this paper surveys existing techniques for biosystem reverse engineering. Network structure inference techniques such as Correlation Matrix Construction (CIVIC), Boolean network and Bayesian network-based methods are explained. After the numeric and logical simulation techniques are briefly described, several representative working software tools were introduced. The second part presents our component-based software architecture for biosystem reverse engineering. After three design principles are established, a loosely coupled federation architecture consisting of 11 autonomous components is proposed along with their respective functions.-
dc.languageEnglish-
dc.publisherKOREAN SOC BIOTECHNOLOGY & BIOENGINEERING-
dc.subjectEXPRESSION DATA-
dc.subjectINTERACTION NETWORKS-
dc.subjectREGULATORY NETWORKS-
dc.subjectMETABOLIC NETWORK-
dc.subjectSYSTEMS BIOLOGY-
dc.subjectSIMULATION-
dc.subjectMODELS-
dc.subjectENVIRONMENT-
dc.subjectREPRESENTATION-
dc.subjectCONSTRUCTION-
dc.titleComponent-based software architecture for biosystem reverse engineering-
dc.typeArticle-
dc.identifier.wosid000232994300002-
dc.identifier.scopusid2-s2.0-27744584907-
dc.type.rimsART-
dc.citation.volume10-
dc.citation.beginningpage400-
dc.citation.endingpage407-
dc.citation.publicationnameBIOTECHNOLOGY AND BIOPROCESS ENGINEERING-
dc.identifier.doi10.1007/BF02989822-
dc.contributor.localauthorLee, Doheon-
dc.type.journalArticleReview-
dc.subject.keywordAuthorreverse engineering-
dc.subject.keywordAuthorbiosystem-
dc.subject.keywordAuthornetwork inference-
dc.subject.keywordAuthorsimulation-
dc.subject.keywordAuthorcomponent-
dc.subject.keywordPlusEXPRESSION DATA-
dc.subject.keywordPlusINTERACTION NETWORKS-
dc.subject.keywordPlusREGULATORY NETWORKS-
dc.subject.keywordPlusMETABOLIC NETWORK-
dc.subject.keywordPlusSYSTEMS BIOLOGY-
dc.subject.keywordPlusSIMULATION-
dc.subject.keywordPlusMODELS-
dc.subject.keywordPlusENVIRONMENT-
dc.subject.keywordPlusREPRESENTATION-
dc.subject.keywordPlusCONSTRUCTION-
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BiS-Journal Papers(저널논문)
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