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PLoS Biol DOI:10.1371/journal.pbio.3001419

A field guide to cultivating computational biology.

Publication TypeJournal Article
Year of Publication2021
AuthorsWay, GP, Greene, CS, Carninci, P, Carvalho, BS, de Hoon, M, Finley, SD, Gosline, SJC, Cao, K-ALê, Lee, JSH, Marchionni, L, Robine, N, Sindi, SS, Theis, FJ, Yang, JYH, Carpenter, AE, Fertig, EJ
JournalPLoS Biol
Volume19
Issue10
Pagese3001419
Date Published2021 Oct
ISSN1545-7885
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.

DOI10.1371/journal.pbio.3001419
Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/34618807?dopt=Abstract

Alternate JournalPLoS Biol
PubMed ID34618807
PubMed Central IDPMC8525744
Grant ListR01 HG010067 / HG / NHGRI NIH HHS / United States
R35 GM122547 / GM / NIGMS NIH HHS / United States
U01 CA253403 / CA / NCI NIH HHS / United States