Computational and Statistical Approaches to Analyzing Variants Identified by Exome Sequencing

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Computational and Statistical Approaches to Analyzing Variants Identified by Exome Sequencing

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Title: Computational and Statistical Approaches to Analyzing Variants Identified by Exome Sequencing
Author: Kiezun, Adam; Stitziel, Nathan O.; Sunyaev, Shamil R.

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Citation: Stitziel, Nathan O., Adam Kiezun, and Shamil Sunyaev. 2011. Computational and statistical approaches to analyzing variants identified by exome sequencing. Genome Biology 12(9): 227.
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Abstract: New sequencing technology has enabled the identification of thousands of single nucleotide polymorphisms in the exome, and many computational and statistical approaches to identify disease-association signals have emerged.
Published Version: doi:10.1186/gb-2011-12-9-227
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3308043/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:10475692
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