LEADER 06476nam 22007572 450 001 9910464935503321 005 20160309144021.0 010 $a1-139-89118-9 010 $a1-107-24941-4 010 $a1-107-24858-2 010 $a1-299-70751-3 010 $a1-107-25107-9 010 $a1-107-25024-2 010 $a1-139-22644-4 010 $a1-107-24775-6 035 $a(CKB)3460000000128925 035 $a(EBL)1357350 035 $a(OCoLC)857638186 035 $a(SSID)ssj0000886933 035 $a(PQKBManifestationID)11492542 035 $a(PQKBTitleCode)TC0000886933 035 $a(PQKBWorkID)10834667 035 $a(PQKB)10280407 035 $a(UkCbUP)CR9781139226448 035 $a(MiAaPQ)EBC1357350 035 $a(WaSeSS)IndRDA00019406 035 $a(Au-PeEL)EBL1357350 035 $a(CaPaEBR)ebr10718585 035 $a(CaONFJC)MIL502002 035 $a(EXLCZ)993460000000128925 100 $a20120105d2013|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances in statistical bioinformatics $emodels and integrative inference for high-throughput data /$fedited by Kim-Anh Do, The University of Texas M.D. Anderson Cancer Center, Zhaohui Steven Qin, Emory University, Atlanta, GA, Marina Vannucci, Rice University, Houston, TX$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2013. 215 $a1 online resource (xv, 481 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a1-107-02752-7 311 $a1-107-24154-5 320 $aIncludes bibliographical references and index. 327 $a""Contents""; ""List of Contributors""; ""Preface""; ""1 An Introduction to Next-Generation Biological Platforms""; ""Virginia Mohlere, Wenting Wang, and Ganiraju Manyam""; ""1.1 Introduction""; ""1.2 The Biology of Gene Silencing""; ""1.2.1 DNA Methylation""; ""1.2.2 RNA Interference""; ""1.3 High-Throughput Profiling""; ""1.3.1 Molecular Inversion Probe Arrays""; ""1.3.2 Array Comparative Genomic Hybridization (aCGH)""; ""1.3.3 Genome-Wide Association Studies""; ""1.3.4 Reverse-Phase Protein Array""; ""1.4 Next-Generation Sequencing""; ""1.4.1 Whole-Genome and Whole-Exome Sequencing"" 327 $a""1.4.2 ChIP-Seq""""1.4.3 RNA-Seq""; ""1.4.4 BS-seq""; ""1.5 NGS Data Management and Analysis""; ""1.6 Platform Integration""; ""Acknowledgments""; ""References""; ""References""; ""2 An Introduction to The Cancer Genome Atlas""; ""Bradley M. Broom and Rehan Akbani""; ""2.1 Introduction""; ""2.2 History and Goals of the TCGA Project""; ""2.3 Sample Collection and Processing""; ""2.3.1 Step 1: Tissue Collection""; ""2.3.2 Step 2: Quality Control and DNA/RNA Extraction""; ""2.3.3 Step 3: Molecular Profiling and Sequencing""; ""2.3.4 Step 4: Data Collection and Public Distribution"" 327 $a""2.3.5 Step 5: Data Analysis""""2.4 Data Processing, Storage, and Access""; ""2.4.1 TCGA Barcodes and UUIDs""; ""2.4.2 The Data Coordinating Center""; ""2.4.3 Data Access Matrix""; ""2.4.4 Bulk Download""; ""2.4.5 HTTP""; ""2.4.6 CGHub""; ""2.4.7 Sample and Data Relationship Format (SDRF) and Investigation Description Format (IDF) Files""; ""2.4.8 File Format""; ""2.4.9 Version""; ""2.5 Tools for Visualizing and Analyzing TCGA Data""; ""2.5.1 cBio Cancer Genomics Portal""; ""2.5.2 MBatch Portal""; ""2.5.3 Next-Generation Clustered Heat Maps""; ""2.5.4 Regulome Explorer"" 327 $a""2.5.5 Integrative Genome Viewer""""2.5.6 Cancer Genomics Browser""; ""2.6 Summary""; ""Acknowledgments""; ""References""; ""References""; ""3 DNA Variant Calling in Targeted Sequencing Data""; ""Wenyi Wang, Yu Fan, and Terence P. Speed""; ""3.1 Introduction""; ""3.2 Background""; ""3.2.1 Single-Nucleotide Variation""; ""3.2.2 Long Padlock Probes""; ""3.2.3 Array-Based Resequencing""; ""3.3 Sequence Robust Multiarray Analysis""; ""3.3.1 Quality Control""; ""3.3.2 Variant Calling""; ""3.4 Application of SRMA""; ""3.4.1 Candidate Gene Study for Mitochondrial Diseases"" 327 $a""3.4.2 Validation Results""""3.4.3 Biological Findings""; ""3.5 Conclusion""; ""Appendix""; ""References""; ""References""; ""4 Statistical Analysis of Mapped Reads from mRNA-Seq Data""; ""Ernest Turro and Alex Lewin""; ""4.1 Background""; ""4.1.1 RNA Biology""; ""4.1.2 RNA Technology""; ""4.2 Mapping and Assembly Strategies""; ""4.2.1 De Novo Assembly of the Transcriptome""; ""4.2.2 Genome-Guided Assembly of the Transcriptome""; ""4.2.3 Alignment to a Reference Transcriptome""; ""4.3 Modeling Expression Levels""; ""4.3.1 Poisson Model for Expression Quantification""; ""4.4 Normalization"" 327 $a""4.4.1 RPKM Normalization"" 330 $aProviding genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This includes rigorous and scalable methods for simultaneously handling diverse data types such as gene expression array, miRNA, copy number, methylation, and next-generation sequencing data. This material is written for statisticians who are interested in modeling and analyzing high-throughput data. Chapters by experts in the field offer a thorough introduction to the biological and technical principles behind multiplatform high-throughput experimentation. 606 $aBioinformatics$xStatistical methods 606 $aBiometry 606 $aGenetics$xTechnique 615 0$aBioinformatics$xStatistical methods. 615 0$aBiometry. 615 0$aGenetics$xTechnique. 676 $a572.80285 702 $aDo$b Kim-Anh$f1960- 702 $aQin$b Steven$f1972- 702 $aVannucci$b Marina$f1966- 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910464935503321 996 $aAdvances in statistical bioinformatics$91897046 997 $aUNINA LEADER 03538oam 2200865 c 450 001 9910413347003321 005 20260102090118.0 010 $a3-8309-8694-7 024 3 $a9783830986942 035 $a(CKB)4910000000017717 035 $a(Waxmann)9783830986942 035 $a(EXLCZ)994910000000017717 100 $a20260102d2017 uy 0 101 0 $ager 135 $aurnnunnnannuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEntwicklung von wissenschaftlichen Weiterbildungsprogrammen im MINT-Bereich /$fMarlen Arnold, Olaf Zawacki-Richter, Jutta Haubenreich, Heinke Röbken, Roman Götter 205 $a1st, New ed. 210 $aMünster$cWaxmann$d2017 215 $a1 online resource (484 p.) 311 08$a3-8309-3694-X 330 $aWie lassen sich Programme in der wissenschaftlichen Weiterbildung im MINT-Bereich für nicht-traditionelle Zielgruppen, die berufsbegleitend studieren möchten, etablieren? In 55 Beiträgen werden Einblicke in die Ergebnisse einer sechsjährigen Forschungs- und Entwicklungsarbeit zur Etablierung wissenschaftlicher Weiterbildungsprogramme mit dem Schwerpunkt Umwelt, Energie und Nachhaltigkeit gegeben. Entlang des gesamten Entwicklungsprozesses werden Aspekte von der Programmentwicklung über die Programmplanung bis hin zum Programmmanagement und einer nachhaltigen Implementierung theoretisch diskutiert und konkrete praktische Umsetzungen vorgestellt. Insbesondere wird dabei auf Instruktionsdesign und Bildungstechnologien, Qualitätsmanagement, Anrechnung von Kompetenzen und Qualifikationen sowie nachhaltige Verankerungen wissenschaftlicher Weiterbildung an Hochschulen eingegangen. Jede theoretische Erschließung ist von praxisorientierten Erfahrungen und bewährten Vorgehensweisen begleitet. 606 $aProgrammplanung 606 $aProgrammmanagement 606 $aMINT-Bereich 606 $aAufstieg durch Bildung: offene Hochschule 606 $aWeiterbildung 606 $aWeiterbildungsangebote 606 $aAllgemeine Anrechnungsempfehlung 606 $aOnlinelehre 606 $aiAcademy 606 $aE-Learning 606 $aBlended Learning 606 $aMINTmaps 606 $aUNIKIMS 606 $adeutschsprachig 606 $aMINT-Fächer 606 $aManagement 606 $aLebenslanges Lernen 606 $aNachhaltigkeit 606 $aBildungsmanagement 606 $aErwachsenenbildung 615 4$aProgrammplanung 615 4$aProgrammmanagement 615 4$aMINT-Bereich 615 4$aAufstieg durch Bildung: offene Hochschule 615 4$aWeiterbildung 615 4$aWeiterbildungsangebote 615 4$aAllgemeine Anrechnungsempfehlung 615 4$aOnlinelehre 615 4$aiAcademy 615 4$aE-Learning 615 4$aBlended Learning 615 4$aMINTmaps 615 4$aUNIKIMS 615 4$adeutschsprachig 615 4$aMINT-Fächer 615 4$aManagement 615 4$aLebenslanges Lernen 615 4$aNachhaltigkeit 615 4$aBildungsmanagement 615 4$aErwachsenenbildung 702 $aArnold$b Marlen$4edt 702 $aZawacki-Richter$b Olaf$4edt 702 $aHaubenreich$b Jutta$4edt 702 $aRöbken$b Heinke$4edt 702 $aGötter$b Roman$4edt 801 0$bWaxmann 801 1$bWaxmann 906 $aBOOK 912 $a9910413347003321 996 $aEntwicklung von wissenschaftlichen Weiterbildungsprogrammen im MINT-Bereich$92780222 997 $aUNINA