Statistical Approaches for Next-Generation Sequencing Data

Statistical Approaches for Next-Generation Sequencing Data

During the last two decades, genotyping technology has advanced rapidly, which enabled the tremendous success of genome-wide association studies (GWAS) in the search of disease susceptibility loci (DSLs). However, only a small fraction of the overall predicted heritability can be explained by the DS...

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Bibliographic Details
Main Author: Qiao, Dandi
Other Authors: Lange, Christoph
Language:en_US
Published: Harvard University 2013
Subjects:
Biostatistics
Genetics
Genetic Association Analysis
Genetic epidemiology
GWAS
NGS
Statistical Genetics
Online Access:http://dissertations.umi.com/gsas.harvard:10689
http://nrs.harvard.edu/urn-3:HUL.InstRepos:10403676

Internet

http://dissertations.umi.com/gsas.harvard:10689
http://nrs.harvard.edu/urn-3:HUL.InstRepos:10403676

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