Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects

Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects

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, facilitating collaboration in human genetics research.

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Detalles Bibliográficos
Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
Science
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Acceso en línea:https://doaj.org/article/0ebc7f3c469f4ca081434ec64d244d5f
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Sumario: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, facilitating collaboration in human genetics research.

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