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Computational and statistical approaches to analyzing variants identified by exome sequencing

期刊

GENOME BIOLOGY
卷 12, 期 9, 页码 -

出版社

BIOMED CENTRAL LTD
DOI: 10.1186/gb-2011-12-9-227

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资金

  1. National Institutes of Health [R01-MH084676, R01-GM078598, T32-HL07604-25]
  2. Brigham and Women's Hospital, Division of Cardiovascular Medicine
  3. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [T32HL007604] Funding Source: NIH RePORTER
  4. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM078598] Funding Source: NIH RePORTER
  5. NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH084676] Funding Source: NIH RePORTER

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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.

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