PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies

Centralized infrastructure to support analyses involving complexity beyond genome-wide association studies is broadly needed. Here, Ritchie and colleagues develop PLATO, a software tool to process and integrate various methods for this task.

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Autores principales:	Molly A. Hall, John Wallace, Anastasia Lucas, Dokyoon Kim, Anna O. Basile, Shefali S. Verma, Cathy A. McCarty, Murray H. Brilliant, Peggy L. Peissig, Terrie E. Kitchner, Anurag Verma, Sarah A. Pendergrass, Scott M. Dudek, Jason H. Moore, Marylyn D. Ritchie
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/bb1e42b5fa3641f4b0265931ee4db643
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spelling	oai:doaj.org-article:bb1e42b5fa3641f4b0265931ee4db6432021-12-02T14:42:20ZPLATO software provides analytic framework for investigating complexity beyond genome-wide association studies10.1038/s41467-017-00802-22041-1723https://doaj.org/article/bb1e42b5fa3641f4b0265931ee4db6432017-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-017-00802-2https://doaj.org/toc/2041-1723Centralized infrastructure to support analyses involving complexity beyond genome-wide association studies is broadly needed. Here, Ritchie and colleagues develop PLATO, a software tool to process and integrate various methods for this task.Molly A. HallJohn WallaceAnastasia LucasDokyoon KimAnna O. BasileShefali S. VermaCathy A. McCartyMurray H. BrilliantPeggy L. PeissigTerrie E. KitchnerAnurag VermaSarah A. PendergrassScott M. DudekJason H. MooreMarylyn D. RitchieNature PortfolioarticleScienceQENNature Communications, Vol 8, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Molly A. Hall John Wallace Anastasia Lucas Dokyoon Kim Anna O. Basile Shefali S. Verma Cathy A. McCarty Murray H. Brilliant Peggy L. Peissig Terrie E. Kitchner Anurag Verma Sarah A. Pendergrass Scott M. Dudek Jason H. Moore Marylyn D. Ritchie PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies
description	Centralized infrastructure to support analyses involving complexity beyond genome-wide association studies is broadly needed. Here, Ritchie and colleagues develop PLATO, a software tool to process and integrate various methods for this task.
format	article
author	Molly A. Hall John Wallace Anastasia Lucas Dokyoon Kim Anna O. Basile Shefali S. Verma Cathy A. McCarty Murray H. Brilliant Peggy L. Peissig Terrie E. Kitchner Anurag Verma Sarah A. Pendergrass Scott M. Dudek Jason H. Moore Marylyn D. Ritchie
author_facet	Molly A. Hall John Wallace Anastasia Lucas Dokyoon Kim Anna O. Basile Shefali S. Verma Cathy A. McCarty Murray H. Brilliant Peggy L. Peissig Terrie E. Kitchner Anurag Verma Sarah A. Pendergrass Scott M. Dudek Jason H. Moore Marylyn D. Ritchie
author_sort	Molly A. Hall
title	PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies
title_short	PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies
title_full	PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies
title_fullStr	PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies
title_full_unstemmed	PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies
title_sort	plato software provides analytic framework for investigating complexity beyond genome-wide association studies
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/bb1e42b5fa3641f4b0265931ee4db643
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PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies

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