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Statistical Methods for Chip-Exo/Nexus Quality Control, and Fine-mapping of Multi-trait SNPs in High LD by Using Next-generation Sequencing Data

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개인저자Welch, Rene.
단체저자명The University of Wisconsin - Madison. Statistics.
서명/저자사항Statistical Methods for Chip-Exo/Nexus Quality Control, and Fine-mapping of Multi-trait SNPs in High LD by Using Next-generation Sequencing Data.
발행사항[S.l.] : The University of Wisconsin - Madison., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항110 p.
소장본 주기School code: 0262.
ISBN9780438359758
일반주기 Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Sunduz Keles.
요약Advances in the field of genomics over the last years have led to diverse types of measurements with vast amounts of next generation sequencing (NGS) data. As genomic measurements become faster and cheaper with higher-throughput technologies, la
요약In this thesis we introduce two methods. First, we present ChIPexoQual, an R/Bioconductor quality control pipeline that enables exploration and analysis of ChIP-exo and related experiments. ChIPexoQual evaluates a number of key issues including
요약Next, we introduce FM-HighLD, a fine-mapping method for variants in high linkage disequilibrium that, by using ChIP-seq based annotation data, is capable of calculating SNP probabilities for being causal for single or multiple traits by using an
요약Finally, in this thesis, we showcase two R/Bioconductor packages to facilitate the analysis of next generation sequencing data, and explore RNA-seq differential expression results. First, ChIPUtils is a package that calculates typical ChIP-seq q
일반주제명Statistics.
Bioinformatics.
언어영어
기본자료 저록Dissertation Abstracts International80-01B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T15001170

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