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Imputation of Variants from the 1000 Genomes Project Modestly Improves Known Associations and Can Identify Low-frequency Variant - Phenotype Associations Undetected by HapMap Based Imputation

Wood, Andrew R ; Perry, John R. B ; Tanaka, Toshiko ; Hernandez, Dena G ; Zheng, Hou-Feng ; Melzer, David ; Gibbs, J. Raphael ; Nalls, Michael A ; Weedon, Michael N ; Spector, Tim D ; Richards, J. Brent ; Bandinelli, Stefania ; Ferrucci, Luigi ; Singleton, Andrew B ; Frayling, Timothy M Arking, Dan E. (editor)

PLoS ONE, 2013, Vol.8(5) [Periódico revisado por pares]

U.S. National Library of Medicine (NIH/NLM)

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Imputation of Variants from the 1000 Genomes Project Modestly Improves Known Associations and Can Identify Low-frequency Variant - Phenotype Associations Undetected by HapMap Based Imputation
Material Type:
Artigo
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Imputation of Variants from the 1000 Genomes Project Modestly Improves Known Associations and Can Identify Low-frequency Variant - Phenotype Associations Undetected by HapMap Based Imputation

Wood, Andrew R. ; Perry, John R. B. ; Tanaka, Toshiko ; Hernandez, Dena G. ; Zheng, Hou-Feng ; Melzer, David ; Gibbs, J. Raphael ; Nalls, Michael A. ; Weedon, Michael N. ; Spector, Tim D. ; Richards, J. Brent ; Bandinelli, Stefania ; Ferrucci, Luigi ; Singleton, Andrew B. ; Frayling, Timothy M. Arking, Dan E.

PLoS ONE, 5/16/2013, Vol.8(5), p.e64343 [Periódico revisado por pares]

Public Library of Science (ViaCrossRef)

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Imputation of variants from the 1000 Genomes Project modestly improves known associations and can identify low-frequency variant-phenotype associations undetected by HapMap based imputation

Wood, Andrew R ; Perry, John R B ; Tanaka, Toshiko ; Hernandez, Dena G ; Zheng, Hou-Feng ; Melzer, David ; Gibbs, J Raphael ; Nalls, Michael A ; Weedon, Michael N ; Spector, Tim D ; Richards, J Brent ; Bandinelli, Stefania ; Ferrucci, Luigi ; Singleton, Andrew B ; Frayling, Timothy M

PloS one, 2013, Vol.8(5), pp.e64343 [Periódico revisado por pares]

MEDLINE/PubMed (U.S. National Library of Medicine)

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Imputation of Variants from the 1000 Genomes Project Modestly Improves Known Associations and Can Identify Low-frequency Variant - Phenotype Associations Undetected by HapMap Based Imputation.(Research Article)

Wood, Andrew R. ; Perry, John R. B. ; Tanaka, Toshiko ; Hernandez, Dena G. ; Zheng, Hou-Feng ; Melzer, David ; Gibbs, J. Raphael ; Nalls, Michael A. ; Weedon, Michael N. ; Spector, Tim D. ; Richards, J. Brent ; Bandinelli, Stefania ; Ferrucci, Luigi ; Singleton, Andrew B. ; Frayling, Timothy M.

PLoS ONE, May 16, 2013, Vol.8(5), p.e64343 [Periódico revisado por pares]

Cengage Learning, Inc.

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Material Type:
Artigo
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Imputation of variants from the 1000 Genomes Project modestly improves known associations and can identify low-frequency variant-phenotype associations undetected by HapMap based imputation

Andrew R Wood ; John R B Perry ; Toshiko Tanaka ; Dena G Hernandez ; Hou-Feng Zheng ; David Melzer ; J Raphael Gibbs ; Michael A Nalls ; Michael N Weedon ; Tim D Spector ; J Brent Richards ; Stefania Bandinelli ; Luigi Ferrucci ; Andrew B Singleton ; Timothy M Frayling

PLoS ONE, 01 January 2013, Vol.8(5), p.e64343 [Periódico revisado por pares]

Directory of Open Access Journals (DOAJ)

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