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020 ▼a 9780438359758
035 ▼a (MiAaPQ)AAI10934129
035 ▼a (MiAaPQ)wisc:15767
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 310
1001 ▼a Welch, Rene.
24510 ▼a Statistical Methods for Chip-Exo/Nexus Quality Control, and Fine-mapping of Multi-trait SNPs in High LD by Using Next-generation Sequencing Data.
260 ▼a [S.l.] : ▼b The University of Wisconsin - Madison., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 110 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Sunduz Keles.
5021 ▼a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2018.
520 ▼a Advances 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
520 ▼a In 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
520 ▼a Next, 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
520 ▼a Finally, 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
590 ▼a School code: 0262.
650 4 ▼a Statistics.
650 4 ▼a Bioinformatics.
690 ▼a 0463
690 ▼a 0715
71020 ▼a The University of Wisconsin - Madison. ▼b Statistics.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0262
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001170 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자