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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525744/ https://www.ncbi.nlm.nih.gov/pubmed/34618807 http://dx.doi.org/10.1371/journal.pbio.3001419 |
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author | Way, Gregory P. Greene, Casey S. Carninci, Piero Carvalho, Benilton S. de Hoon, Michiel Finley, Stacey D. Gosline, Sara J. C. Lȇ Cao, Kim-Anh Lee, Jerry S. H. Marchionni, Luigi Robine, Nicolas Sindi, Suzanne S. Theis, Fabian J. Yang, Jean Y. H. Carpenter, Anne E. Fertig, Elana J. |
author_facet | Way, Gregory P. Greene, Casey S. Carninci, Piero Carvalho, Benilton S. de Hoon, Michiel Finley, Stacey D. Gosline, Sara J. C. Lȇ Cao, Kim-Anh Lee, Jerry S. H. Marchionni, Luigi Robine, Nicolas Sindi, Suzanne S. Theis, Fabian J. Yang, Jean Y. H. Carpenter, Anne E. Fertig, Elana J. |
author_sort | Way, Gregory P. |
collection | PubMed |
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 | Online Article Text |
id | pubmed-8525744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-85257442021-10-20 A field guide to cultivating computational biology Way, Gregory P. Greene, Casey S. Carninci, Piero Carvalho, Benilton S. de Hoon, Michiel Finley, Stacey D. Gosline, Sara J. C. Lȇ Cao, Kim-Anh Lee, Jerry S. H. Marchionni, Luigi Robine, Nicolas Sindi, Suzanne S. Theis, Fabian J. Yang, Jean Y. H. Carpenter, Anne E. Fertig, Elana J. PLoS Biol Essay 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. Public Library of Science 2021-10-07 /pmc/articles/PMC8525744/ /pubmed/34618807 http://dx.doi.org/10.1371/journal.pbio.3001419 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Essay Way, Gregory P. Greene, Casey S. Carninci, Piero Carvalho, Benilton S. de Hoon, Michiel Finley, Stacey D. Gosline, Sara J. C. Lȇ Cao, Kim-Anh Lee, Jerry S. H. Marchionni, Luigi Robine, Nicolas Sindi, Suzanne S. Theis, Fabian J. Yang, Jean Y. H. Carpenter, Anne E. Fertig, Elana J. A field guide to cultivating computational biology |
title | 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_short | A field guide to cultivating computational biology |
title_sort | field guide to cultivating computational biology |
topic | Essay |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525744/ https://www.ncbi.nlm.nih.gov/pubmed/34618807 http://dx.doi.org/10.1371/journal.pbio.3001419 |
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