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A field guide to cultivating computational biology.
PLoS Biol. 19:e3001419 (2021)
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.
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Publication type
Article: Journal article
Document type
Review
ISSN (print) / ISBN
1544-9173
e-ISSN
1545-7885
Journal
PLoS Biology
Quellenangaben
Volume: 19,
Issue: 10,
Article Number: e3001419
Publisher
Public Library of Science (PLoS)
Publishing Place
1160 Battery Street, Ste 100, San Francisco, Ca 94111 Usa
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)
Grants
National Institutes of Health