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Way, G.P.* ; Greene, C.S.* ; Carninci, P.* ; Carvalho, B.S.* ; de Hoon, M.* ; Finley, S.* ; Gosline, S.J.C.* ; Le Cao, K.A.* ; Lee, J.S.H.* ; Marchionni, L.* ; Robine, N.* ; Sindi, S.S.* ; Theis, F.J. ; Yang, J.Y.H.* ; Carpenter, A.E.* ; Fertig, E.J.*

A field guide to cultivating computational biology.

PLoS Biol. 19:e3001419 (2021)
Verlagsversion DOI
Open Access Gold
Creative Commons Lizenzvertrag
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
ISSN (print) / ISBN 1544-9173
e-ISSN 1545-7885
Zeitschrift PLoS Biology
Quellenangaben Band: 19, Heft: 10, Seiten: , Artikelnummer: e3001419 Supplement: ,
Verlag Public Library of Science (PLoS)
Verlagsort 1160 Battery Street, Ste 100, San Francisco, Ca 94111 Usa
Begutachtungsstatus Peer reviewed
Förderungen National Institutes of Health