A field guide to cultivating computational biology.

PLoS Biol
Authors
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.

Year of Publication
2021
Journal
PLoS Biol
Volume
19
Issue
10
Pages
e3001419
Date Published
2021 Oct
ISSN
1545-7885
DOI
10.1371/journal.pbio.3001419
PubMed ID
34618807
PubMed Central ID
PMC8525744
Links
Grant list
R01 HG010067 / HG / NHGRI NIH HHS / United States
R35 GM122547 / GM / NIGMS NIH HHS / United States
U01 CA253403 / CA / NCI NIH HHS / United States