A field guide to cultivating computational biology

Way GP, Greene CS, Carninci P, Carvalho BS, De Hoon M, Finley S, Gosline SJC, Le Cao KA, Lee JSH, Marchionni L, Robine N, Sindi SS, Theis FJ, Yang JYH, Carpenter AE, Fertig EJ (2021)

Publication Type: Journal article, Review article

Publication year: 2021

Journal

Plos Biology Public Library of Science

Book Volume: 19

Article Number: e3001419

Journal Issue: 10

DOI: 10.1371/journal.pbio.3001419

Abstract

Evo:lvPinlegaisnecsoynnfcirwmitthhatthalelhceoamdipnugtleavtieolnsarreevreopluretisoenntoevdecor rtrheectplya:st 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.

Involved external institutions

Eli and Edythe L. Broad Institute of MIT and Harvard US United States (USA) (US) University of Colorado System US United States (USA) (US) Universidade Estadual de Campinas (UNICAMP) / University of Campinas BR Brazil (BR) University of Southern California (USC) US United States (USA) (US) Pacific Northwest National Laboratory US United States (USA) (US) The University of Melbourne AU Australia (AU) Cornell University US United States (USA) (US) New York Genome Center (NYGC) US United States (USA) (US) University of California, Merced US United States (USA) (US) Technische Universität München (TUM) DE Germany (DE) University of Sydney (USYD) AU Australia (AU) Johns Hopkins University (JHU) US United States (USA) (US)

How to cite

APA:

Way, G.P., Greene, C.S., Carninci, P., Carvalho, B.S., De Hoon, M., Finley, S.,... Fertig, E.J. (2021). A field guide to cultivating computational biology. Plos Biology, 19(10). https://doi.org/10.1371/journal.pbio.3001419

MLA:

Way, Gregory P., et al. "A field guide to cultivating computational biology." Plos Biology 19.10 (2021).

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