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A field guide to cultivating computational biology.

Authors :
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
Source :
PLoS Biology, Vol 19, Iss 10, p e3001419 (2021)
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 2021.

Abstract

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.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
15449173 and 15457885
Volume :
19
Issue :
10
Database :
Directory of Open Access Journals
Journal :
PLoS Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.b718baae22804e1b87bfd4f96d187368
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pbio.3001419