Computational and statistical approaches to analyzing variants identified by exome sequencing
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Stitziel-2011-Computational and st.pdf
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491.5 KB
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Author(s)
Stitziel, Nathan O.
Kiezun, Adam
Sunyaev, Shamil R.
Date Issued
September 2011
Journal
Genome Biology
Publisher
BioMed Central Ltd.
Citation
Stitziel, Nathan O, Adam Kiezun, and Shamil Sunyaev. “Computational and Statistical Approaches to Analyzing Variants Identified by Exome Sequencing.” Genome Biology 12.9 (2011): 227. Web.
Version
Final published version
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.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1186/gb-2011-12-9-227
