Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- 1 Introduction -- 1.1 Book overview -- 1.2 Overview of omic data -- 1.2.1 Genomic data -- 1.2.1.1 Genomic SNP data -- 1.2.1.2 SNP arrays -- 1.2.1.3 Sequencing methods -- 1.2.2 Genomic data for other structura...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Romero González, Juan (VerfasserIn), Cáceres, Alejandro (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Boca Raton, London, New York CRC Press, Taylor & Francis Group [2019]
Schlagworte:	Electronic books
Online-Zugang:	FUBA1 Volltext
Zusammenfassung:	Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- 1 Introduction -- 1.1 Book overview -- 1.2 Overview of omic data -- 1.2.1 Genomic data -- 1.2.1.1 Genomic SNP data -- 1.2.1.2 SNP arrays -- 1.2.1.3 Sequencing methods -- 1.2.2 Genomic data for other structural variants -- 1.2.3 Transcriptomic data -- 1.2.3.1 Microarrays -- 1.2.3.2 RNA-seq -- 1.2.4 Epigenomic data -- 1.2.5 Exposomic data -- 1.3 Association studies -- 1.3.1 Genome-wide association studies -- 1.3.2 Whole transcriptome pro ling -- 1.3.3 Epigenome-wide association studies -- 1.3.4 Exposome-wide association studies -- 1.4 Publicly available resources -- 1.4.1 dbGaP -- 1.4.2 EGA -- 1.4.3 GEO -- 1.4.4 1000 Genomes -- 1.4.5 GTEx -- 1.4.6 TCGA -- 1.4.7 Others -- 1.5 Bioconductor -- 1.5.1 R -- 1.5.2 Omic data in Bioconductor -- 1.6 Book's outline -- 2 Case examples -- 2.1 Chapter overview -- 2.2 Reproducibility: The case for public data repositories -- 2.3 Case 1: dbGaP -- 2.4 Case 2: GEO -- 2.5 Case 3: GTEx -- 2.6 Case 4: TCGA -- 2.7 Case 5: NHANES -- 3 Dealing with omic data in Bioconductor -- 3.1 Chapter overview -- 3.2 snpMatrix -- 3.3 ExpressionSet -- 3.4 SummarizedExperiment -- 3.5 GRanges -- 3.6 RangedSummarizedExperiment -- 3.7 ExposomeSet -- 3.8 MultiAssayExperiment -- 3.9 MultiDataSet -- 4 Genetic association studies -- 4.1 Chapter overview -- 4.2 Genetic association studies -- 4.2.1 Analysis packages -- 4.2.2 Association tests -- 4.2.3 Single SNP analysis -- 4.2.4 Hardy{Weinberg equilibrium -- 4.2.5 SNP association analysis -- 4.2.6 Gene environment and gene gene interactions -- 4.3 Haplotype analysis -- 4.3.1 Linkage disequilibrium heatmap plots -- 4.3.2 Haplotype estimation -- 4.3.3 Haplotype association -- 4.3.4 Sliding window approach -- 4.4 Genetic score -- 4.5 Genome-wide association studies -- 4.5.1 Quality control of SNPs
Beschreibung:	Description based on publisher supplied metadata and other sources
Beschreibung:	1 online resource (XIII, 375 Seiten)
ISBN:	9780429803376 9780429440557