A field guide to cultivating computational biology

Author:

Way Gregory P.ORCID,Greene Casey S.ORCID,Carninci PieroORCID,Carvalho Benilton S.ORCID,de Hoon MichielORCID,Finley Stacey D.ORCID,Gosline Sara J. C.ORCID,Lȇ Cao Kim-AnhORCID,Lee Jerry S. H.ORCID,Marchionni Luigi,Robine NicolasORCID,Sindi Suzanne S.,Theis Fabian J.ORCID,Yang Jean Y. H.ORCID,Carpenter Anne E.ORCID,Fertig Elana J.ORCID

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.

Funder

National Institutes of Health

Publisher

Public Library of Science (PLoS)

Subject

General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

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