03807nam 2200637 a 450 991048497670332120200520144314.03-540-37447-710.1007/11818564(CKB)1000000000283959(SSID)ssj0000319366(PQKBManifestationID)11236537(PQKBTitleCode)TC0000319366(PQKBWorkID)10337828(PQKB)11401248(DE-He213)978-3-540-37447-3(MiAaPQ)EBC3068266(PPN)123137411(EXLCZ)99100000000028395920060707d2006 uy 0engurnn|008mamaatxtccrPattern recognition in bioinformatics international workshop, PRIB 2006, Hong Kong, China, August 20, 2006 : proceedings /Jagath C. Rajapakse, Limsoon Wong, Raj Acharya (eds.)1st ed. 2006.Berlin ;New York Springerc20061 online resource (XII, 186 p.) Lecture notes in computer science. Lecture notes in bioinformatics,0302-9743 ;4146LNCS sublibrary. SL 8, BioinformaticsBibliographic Level Mode of Issuance: Monograph3-540-37446-9 Includes bibliographical references and index.pt. 1. Signal and motif detection; gene selection -- pt. 2. Models of DNA, RNA, and protein structures -- pt. 3. Biological databases and imaging.The field of bioinformatics has two main objectives: the creation and maintenance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model specific patterns of a given dataset, which have some relevance to an important biological phenomenon or another dataset. To date, many pattern recognition algorithms have been applied or catered to address a wide range of bioinformatics problems. The 2006 Workshop of Bioinformatics in Pattern Recognition (PRIB 2006) marks the beginning of a series of workshops that is aimed at gathering researchers applying pattern recognition algorithms in an attempt to resolve problems in computational biology and bioinformatics. This volume presents the proceedings of Workshop PRIB 2006 held in Hong Kong, China, on August 20, 2006. It includes 19 technical contributions that were selected by the Program Committee from 43 submissions. We give a brief introduction to pattern recognition in bioinformatics in the first paper. The rest of the volume consists of three parts. Part 1: signal and motif detection, and gene selection. Part 2: models of DNA, RNA, and protein structures. Part 3: biological databases and imaging.Lecture notes in computer science.Lecture notes in bioinformatics ;4146.LNCS sublibrary.SL 8,Bioinformatics.PRIB 2006BioinformaticsCongressesComputational biologyCongressesComputer vision in medicineCongressesBioinformaticsComputational biologyComputer vision in medicine570.285Rajapakse Jagath Chandana1678834Wong Limsoon1965-1650161Acharya Rajgopal Sundaraj1751842MiAaPQMiAaPQMiAaPQBOOK9910484976703321Pattern recognition in bioinformatics4186964UNINA