LEADER 03308nam 2200637Ia 450 001 9910822207903321 005 20200520144314.0 010 $a1-59693-259-7 035 $a(CKB)1000000000533997 035 $a(EBL)338769 035 $a(OCoLC)437208195 035 $a(SSID)ssj0000111945 035 $a(PQKBManifestationID)11125317 035 $a(PQKBTitleCode)TC0000111945 035 $a(PQKBWorkID)10086239 035 $a(PQKB)11625594 035 $a(Au-PeEL)EBL338769 035 $a(CaPaEBR)ebr10240792 035 $a(CaBNVSL)mat09100190 035 $a(IEEE)9100190 035 $a(MiAaPQ)EBC338769 035 $a(EXLCZ)991000000000533997 100 $a20070707d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBiological database modeling /$fJake Chen, Amandeep S. Sidhu, editors 205 $a1st ed. 210 $aNorwood, MA $cArtech House$dc2008 215 $a1 online resource (242 p.) 225 1 $aArtech House bioinformatics & biomedical imaging 300 $aDescription based upon print version of record. 311 $a1-59693-258-9 320 $aIncludes bibliographical references and index. 327 $aIntroduction to data modeling / Amandeep S. Sidhu, Jake Chen -- Public biological database for -omics studies in medicine / Viroj Wiwanitkit -- Modeling biomedical data / Ramez Elmasri, Feng Ji, and Jack Fu -- Fundamentals of gene ontology / Viroj Wiwanitkit -- Protein Ontology / Amandeep S. Sidhu, Tharam S. Dillon, and Elizabeth Chang -- Information quality management challenges for high-throughput data / Cornelia Hedeler and Paolo Missier -- Data management for fungal genomics: an experience report / Greg Butler [and others] -- Microarray data management: an enterprise information approach / Wily A. Valdvia-Granda, Christopher Dwan -- Data mangament in expression-based proteomics / Zhong Yan [and others] -- Model-driven drug discovery: principles and practices / Karthik Raman, Yeturu Kalidas, and Nagasuma Chandra -- Information mangament and interaction in high-throughput screening for drug discovery / Preeti Malik [and others]. 330 3 $aModern biological research in areas like drug discovery produces a staggering volume of data, and the right modeling tools can help scientists apply it in ways never before imaginable. This collection of next-generation biodata modeling techniques combines innovative concepts, methods, and applications with case studies in genome, microarray, proteomics, and drug discovery projects that helps bioinformatics professionals develop ever-more powerful data management systems in any domain.$cPublisher abstract. 410 0$aArtech House bioinformatics & biomedical imaging series. 606 $aBioinformatics 606 $aComputational biology 606 $aDatabase management 615 0$aBioinformatics. 615 0$aComputational biology. 615 0$aDatabase management. 676 $a570.285 676 $a572.80285 701 $aChen$b Jake$01644044 701 $aSidhu$b Amandeep S$01644045 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822207903321 996 $aBiological database modeling$93989652 997 $aUNINA