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pro vyhledávání: '"Manisha Kher"'
Autor:
Allison A. Regier, Yossi Farjoun, David E. Larson, Olga Krasheninina, Hyun Min Kang, Daniel P. Howrigan, Bo-Juen Chen, Manisha Kher, Eric Banks, Darren C. Ames, Adam C. English, Heng Li, Jinchuan Xing, Yeting Zhang, Tara Matise, Goncalo R. Abecasis, Will Salerno, Michael C. Zody, Benjamin M. Neale, Ira M. Hall
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
Sharing of whole genome sequencing (WGS) data improves study scale and power, but data from different groups are often incompatible. Here, US genome centers and NIH programs define WGS data processing standards and a flexible validation method, facil
Externí odkaz:
https://doaj.org/article/0ebc7f3c469f4ca081434ec64d244d5f
Autor:
Manisha Kher, Hyun Min Kang, Yossi Farjoun, Eric Banks, Allison A. Regier, Olga Krasheninina, Gonçalo R. Abecasis, Yeting Zhang, Tara C. Matise, Ira M. Hall, Daniel P. Howrigan, Jinchuan Xing, Will Salerno, Bo Juen Chen, Benjamin M. Neale, Adam C. English, David E. Larson, Heng Li, Michael C. Zody, Darren C. Ames
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-8 (2018)
Nature Communications
Nature Communications
Hundreds of thousands of human whole genome sequencing (WGS) datasets will be generated over the next few years. These data are more valuable in aggregate: joint analysis of genomes from many sources increases sample size and statistical power. A cen