LEADER 03807nam 2200637 a 450 001 9910484976703321 005 20200520144314.0 010 $a3-540-37447-7 024 7 $a10.1007/11818564 035 $a(CKB)1000000000283959 035 $a(SSID)ssj0000319366 035 $a(PQKBManifestationID)11236537 035 $a(PQKBTitleCode)TC0000319366 035 $a(PQKBWorkID)10337828 035 $a(PQKB)11401248 035 $a(DE-He213)978-3-540-37447-3 035 $a(MiAaPQ)EBC3068266 035 $a(PPN)123137411 035 $a(EXLCZ)991000000000283959 100 $a20060707d2006 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aPattern recognition in bioinformatics $einternational workshop, PRIB 2006, Hong Kong, China, August 20, 2006 : proceedings /$fJagath C. Rajapakse, Limsoon Wong, Raj Acharya (eds.) 205 $a1st ed. 2006. 210 $aBerlin ;$aNew York $cSpringer$dc2006 215 $a1 online resource (XII, 186 p.) 225 1 $aLecture notes in computer science. Lecture notes in bioinformatics,$x0302-9743 ;$v4146 225 1 $aLNCS sublibrary. SL 8, Bioinformatics 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-37446-9 320 $aIncludes bibliographical references and index. 327 $apt. 1. Signal and motif detection; gene selection -- pt. 2. Models of DNA, RNA, and protein structures -- pt. 3. Biological databases and imaging. 330 $aThe field of bioinformatics has two main objectives: the creation and maintenance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model specific patterns of a given dataset, which have some relevance to an important biological phenomenon or another dataset. To date, many pattern recognition algorithms have been applied or catered to address a wide range of bioinformatics problems. The 2006 Workshop of Bioinformatics in Pattern Recognition (PRIB 2006) marks the beginning of a series of workshops that is aimed at gathering researchers applying pattern recognition algorithms in an attempt to resolve problems in computational biology and bioinformatics. This volume presents the proceedings of Workshop PRIB 2006 held in Hong Kong, China, on August 20, 2006. It includes 19 technical contributions that were selected by the Program Committee from 43 submissions. We give a brief introduction to pattern recognition in bioinformatics in the first paper. The rest of the volume consists of three parts. Part 1: signal and motif detection, and gene selection. Part 2: models of DNA, RNA, and protein structures. Part 3: biological databases and imaging. 410 0$aLecture notes in computer science.$pLecture notes in bioinformatics ;$v4146. 410 0$aLNCS sublibrary.$nSL 8,$pBioinformatics. 517 3 $aPRIB 2006 606 $aBioinformatics$vCongresses 606 $aComputational biology$vCongresses 606 $aComputer vision in medicine$vCongresses 615 0$aBioinformatics 615 0$aComputational biology 615 0$aComputer vision in medicine 676 $a570.285 701 $aRajapakse$b Jagath Chandana$01678834 701 $aWong$b Limsoon$f1965-$01650161 701 $aAcharya$b Rajgopal Sundaraj$01751842 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484976703321 996 $aPattern recognition in bioinformatics$94186964 997 $aUNINA