LEADER 05447nam 2200649 450 001 9910778299503321 005 20230125222334.0 010 $a1-59693-039-X 035 $a(CKB)1000000000787539 035 $a(SSID)ssj0000112174 035 $a(PQKBManifestationID)11819488 035 $a(PQKBTitleCode)TC0000112174 035 $a(PQKBWorkID)10087225 035 $a(PQKB)10135635 035 $a(Au-PeEL)EBL1645672 035 $a(CaPaEBR)ebr10312929 035 $a(OCoLC)873139795 035 $a(CaBNVSL)mat09100200 035 $a(IEEE)9100200 035 $a(MiAaPQ)EBC1645672 035 $a(EXLCZ)991000000000787539 100 $a20200729d2008 uy 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBiomedical informatics in translational research /$fHai Hu, Richard J. Mural, Michael N. Liebman, editors 210 1$aBoston :$cArtech House,$dİ2008. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2008] 215 $axiv, 264 p. $cill 225 1 $aArtech House series bioinformatics & biomedical imaging 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-59693-038-1 320 $aIncludes bibliographical references and index. 327 $aBiomedical Informatics in Translational Research; Contents; Preface; Chapter 1 Biomedical Informatics in TranslationalResearch; 1.1 Evolution of Terminology; 1.1.1 Translational Research; 1.1.2 Systems Biology; 1.1.3 Personalized Medicine; References; Chapter 2 The Clinical Perspective; 2.1 Introduction; 2.2 Ethics in Clinical Research; 2.3 Regulatory Policies for Protecting a Research Subject's Privacy; 2.4 Informed Consent; 2.5 Collecting Clinical Data: Developing and Administering Survey Instruments; 2.6 Issues Important to Biomedical Informatics; 2.6.1 Data Tracking and Centralization. 327 $a2.6.2 Deidentifying Data2.6.3 Quality Assurance; 2.6.4 Data Transfer from the Health Care Clinic to the Research Setting; 2.7 Standard Operating Procedures; 2.8 Developing and Implementing a Research Protocol; 2.8.1 Developing a Research Protocol; 2.8.2 Implementing the Research Protocol; 2.9 Summary; References; Chapter 3 Tissue Banking: Collection, Processing, and Pathologic Characterization of Biospecimens for Research; 3.1 Introduction; 3.1.1 A Biorepository's Mandate; 3.1.2 Overview of Current Tissue Banking Practices; 3.2 Consenting and Clinical Data Acquisition. 327 $a3.3 Blood Collection, Processing, and Storage3.4 Tissue Collection, Processing, Archiving, and Annotation; 3.4.1 Tissue Collection; 3.4.2 Tissue Processing; 3.4.3 Tissue Archiving and Storage; 3.4.4 Pathologic Characterization of Tissue Samples; 3.5 Conclusion; References; Chapter 4 Biological Perspective; 4.1 Background for "Omics" Technologies; 4.2 Basic Biology and Definitions; 4.2.1 A Historical Perspective; 4.2.2 Biological Processes; 4.2.3 Some Definitions; 4.3 Very Basic Biochemistry; 4.3.1 DNA; 4.3.2 RNA; 4.3.3 Proteins; 4.4 Summary; References; Chapter 5 Genomics Studies. 327 $a5.1 Introduction5.2 Genomic Technologies Used for DNA Analysis; 5.2.1 DNA Sequencing; 5.2.1.2 Biomedical Informatics Requirements; 5.2.1.3 Future Directions; 5.2.2 Genotyping; 5.2.2.1 Array Technologies; 5.2.2.2 Technological Assessment of Genotyping; 5.2.2.3 Affymetrix Genotyping SNP Assay Workflow; 5.2.2.4 QA/SOP Issues; 5.2.2.5 Biomedical Informatics Requirements; 5.2.2.6 Future Directions; 5.2.3 Array-Based Comparative Genomic Hybridization; 5.2.3.1 Technological Assessment of Chromosomal Rearrangements; 5.2.3.2 Example Platform; 5.2.3.3 QA/SOP Issues. 327 $a5.2.3.4 Biomedical Informatics Requirements5.2.3.5 Oligo-Based aCGH Platform; 5.3 Genomic Technology Used for RNA Analysis; 5.3.1 Real-Time PCR; 5.3.1.1 Data Analysis Methods; 5.3.1.2 Biomedical Informatics Requirements; 5.3.1.3 Future Directions; 5.3.2 Microarrays; 5.3.2.1 Array Technologies; 5.3.2.2 Example Platform; 5.3.2.3 QA/SOP Issues; 5.3.2.4 MIAME Checklist and Platform Comparison; 5.3.2.5 Data Analysis Issues; 5.3.2.6 Biomedical Informatics Requirements; 5.3.2.7 Future Directions; 5.3.3 Chips for Alternative Splicing Analysis (GeneChip Exon); 5.3.3.1 Array Technology. 330 $aThis groundbreaking resource on biomedical informatics gives you step-by-step insight into innovative techniques for integrating and federating data from clinical and high-throughput molecular study platforms as well as from the public domain. It details how to apply computational and statistical technologies to clinical, genomic, and proteomic studies to enhance data collection, tracking, storage, visualization, analysis, and knowledge discovery processes, and to translate knowledge from ""bench to bedside"" and ""bedside to bench"" with never-before efficiency. Filling the need for informatic. 410 0$aArtech House bioinformatics & biomedical imaging series. 606 $aMedical informatics 606 $aBioinformatics 615 0$aMedical informatics. 615 0$aBioinformatics. 676 $a610.285 701 $aHu$b Hai$01563887 701 $aMural$b Richard J$01563888 701 $aLiebman$b Michael N.$f1947-$01563889 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910778299503321 996 $aBiomedical informatics in translational research$93832636 997 $aUNINA