A field guide to cultivating computational biology.
Journal
PLoS biology
ISSN: 1545-7885
Titre abrégé: PLoS Biol
Pays: United States
ID NLM: 101183755
Informations de publication
Date de publication:
10 2021
10 2021
Historique:
revised:
19
10
2021
pubmed:
8
10
2021
medline:
15
12
2021
entrez:
7
10
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34618807
doi: 10.1371/journal.pbio.3001419
pii: PBIOLOGY-D-21-01193
pmc: PMC8525744
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
e3001419Subventions
Organisme : NIGMS NIH HHS
ID : R01 GM126548
Pays : United States
Organisme : NHGRI NIH HHS
ID : R01 HG010067
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM122547
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA253403
Pays : United States
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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