Computational and statistical approaches to analyzing variants identified by exome sequencing

Nathan O. Stitziel; Adam Kiezun; Shamil Sunyaev

doi:10.1186/gb-2011-12-9-227

Computational and statistical approaches to analyzing variants identified by exome sequencing

Nathan O. Stitziel
, Adam Kiezun
, Shamil Sunyaev

Research output: Contribution to journal › Review article › peer-review

107 Scopus citations

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.

Original language	English
Article number	227
Journal	Genome biology
Volume	12
Issue number	9
DOIs	https://doi.org/10.1186/gb-2011-12-9-227
State	Published - Sep 14 2011

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10.1186/gb-2011-12-9-227

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title = "Computational and statistical approaches to analyzing variants identified by exome sequencing",

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.",

author = "Stitziel, \{Nathan O.\} and Adam Kiezun and Shamil Sunyaev",

note = "Funding Information: This work was supported in part by National Institutes of Health grants R01-MH084676 and R01-GM078598. NS was supported in part by National Institutes of Health Training Grant T32-HL07604-25, Brigham and Women{\textquoteright}s Hospital, Division of Cardiovascular Medicine.",

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T1 - Computational and statistical approaches to analyzing variants identified by exome sequencing

AU - Stitziel, Nathan O.

AU - Kiezun, Adam

AU - Sunyaev, Shamil

N1 - Funding Information: This work was supported in part by National Institutes of Health grants R01-MH084676 and R01-GM078598. NS was supported in part by National Institutes of Health Training Grant T32-HL07604-25, Brigham and Women’s Hospital, Division of Cardiovascular Medicine.

PY - 2011/9/14

Y1 - 2011/9/14

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/80052832184

U2 - 10.1186/gb-2011-12-9-227

DO - 10.1186/gb-2011-12-9-227

M3 - Review article

C2 - 21920052

AN - SCOPUS:80052832184

SN - 1474-7596

VL - 12

JO - Genome biology

JF - Genome biology

IS - 9

M1 - 227

ER -

Computational and statistical approaches to analyzing variants identified by exome sequencing

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