A field guide to cultivating computational biology.

Evolving in sync with the computation revolution over the past 30 years, computational biology has emerged as a mature scientific field. While the field has made major contributions toward improving scientific knowledge and human health, individual computational biology practitioners at various inst...

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Autores principales:	Gregory P Way, Casey S Greene, Piero Carninci, Benilton S Carvalho, Michiel de Hoon, Stacey D Finley, Sara J C Gosline, Kim-Anh Lȇ Cao, Jerry S H Lee, Luigi Marchionni, Nicolas Robine, Suzanne S Sindi, Fabian J Theis, Jean Y H Yang, Anne E Carpenter, Elana J Fertig
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/b718baae22804e1b87bfd4f96d187368
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id	oai:doaj.org-article:b718baae22804e1b87bfd4f96d187368
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spelling	oai:doaj.org-article:b718baae22804e1b87bfd4f96d1873682021-11-25T05:34:00ZA field guide to cultivating computational biology.1544-91731545-788510.1371/journal.pbio.3001419https://doaj.org/article/b718baae22804e1b87bfd4f96d1873682021-10-01T00:00:00Zhttps://doi.org/10.1371/journal.pbio.3001419https://doaj.org/toc/1544-9173https://doaj.org/toc/1545-7885Evolving in sync with the computation revolution over the past 30 years, computational biology has emerged as a mature scientific field. While the field has made major contributions toward improving scientific knowledge and human health, individual computational biology practitioners at various institutions often languish in career development. As optimistic biologists passionate about the future of our field, we propose solutions for both eager and reluctant individual scientists, institutions, publishers, funding agencies, and educators to fully embrace computational biology. We believe that in order to pave the way for the next generation of discoveries, we need to improve recognition for computational biologists and better align pathways of career success with pathways of scientific progress. With 10 outlined steps, we call on all adjacent fields to move away from the traditional individual, single-discipline investigator research model and embrace multidisciplinary, data-driven, team science.Gregory P WayCasey S GreenePiero CarninciBenilton S CarvalhoMichiel de HoonStacey D FinleySara J C GoslineKim-Anh Lȇ CaoJerry S H LeeLuigi MarchionniNicolas RobineSuzanne S SindiFabian J TheisJean Y H YangAnne E CarpenterElana J FertigPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Biology, Vol 19, Iss 10, p e3001419 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Gregory P Way Casey S Greene Piero Carninci Benilton S Carvalho Michiel de Hoon Stacey D Finley Sara J C Gosline Kim-Anh Lȇ Cao Jerry S H Lee Luigi Marchionni Nicolas Robine Suzanne S Sindi Fabian J Theis Jean Y H Yang Anne E Carpenter Elana J Fertig A field guide to cultivating computational biology.
description	Evolving in sync with the computation revolution over the past 30 years, computational biology has emerged as a mature scientific field. While the field has made major contributions toward improving scientific knowledge and human health, individual computational biology practitioners at various institutions often languish in career development. As optimistic biologists passionate about the future of our field, we propose solutions for both eager and reluctant individual scientists, institutions, publishers, funding agencies, and educators to fully embrace computational biology. We believe that in order to pave the way for the next generation of discoveries, we need to improve recognition for computational biologists and better align pathways of career success with pathways of scientific progress. With 10 outlined steps, we call on all adjacent fields to move away from the traditional individual, single-discipline investigator research model and embrace multidisciplinary, data-driven, team science.
format	article
author	Gregory P Way Casey S Greene Piero Carninci Benilton S Carvalho Michiel de Hoon Stacey D Finley Sara J C Gosline Kim-Anh Lȇ Cao Jerry S H Lee Luigi Marchionni Nicolas Robine Suzanne S Sindi Fabian J Theis Jean Y H Yang Anne E Carpenter Elana J Fertig
author_facet	Gregory P Way Casey S Greene Piero Carninci Benilton S Carvalho Michiel de Hoon Stacey D Finley Sara J C Gosline Kim-Anh Lȇ Cao Jerry S H Lee Luigi Marchionni Nicolas Robine Suzanne S Sindi Fabian J Theis Jean Y H Yang Anne E Carpenter Elana J Fertig
author_sort	Gregory P Way
title	A field guide to cultivating computational biology.
title_short	A field guide to cultivating computational biology.
title_full	A field guide to cultivating computational biology.
title_fullStr	A field guide to cultivating computational biology.
title_full_unstemmed	A field guide to cultivating computational biology.
title_sort	field guide to cultivating computational biology.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/b718baae22804e1b87bfd4f96d187368
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A field guide to cultivating computational biology.

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