A field guide to cultivating computational biology.
A field guide to cultivating computational biology.
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DOI：
10.1371/journal.pbio.3001419
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发表时间：
2021-10
期刊：
影响因子：
9.8
通讯作者：
Fertig EJ
中科院分区：
文献类型：
--
作者：
Way GP;Greene CS;Carninci P;Carvalho BS;de Hoon M;Finley SD;Gosline SJC;Lȇ Cao KA;Lee JSH;Marchionni L;Robine N;Sindi SS;Theis FJ;Yang JYH;Carpenter AE;Fertig EJ
在过去的30年里，计算生物学与计算革命同步发展，已经成为一个成熟的科学领域。虽然该领域在提高科学知识和人类健康方面做出了重大贡献，但各个机构的计算生物学从业人员往往在职业发展方面萎靡不振。作为乐观的生物学家，我们对我们领域的未来充满热情，我们为渴望和不愿完全接受计算生物学的科学家、机构、出版商、资助机构和教育工作者提出解决方案。我们相信，为了为下一代的发现铺平道路，我们需要提高对计算生物学家的认识，并更好地将职业成功的途径与科学进步的途径结合起来。我们概述了10个步骤，呼吁所有相关领域摆脱传统的个人、单一学科研究者的研究模式，拥抱多学科、数据驱动的团队科学。你想吸引计算生物学家到你的项目或你的部门来吗？尽管计算生物学做出了重大贡献，但那些试图弥合跨学科差距的人往往在职业发展、出版和拨款审查方面萎靡不振。在这里，全球十六位计算生物学家呈现了“培养计算生物学的实地指南”，重点关注解决方案。
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. Do you want to attract computational biologists to your project or to your department? Despite the major contributions of computational biology, those attempting to bridge the interdisciplinary gap often languish in career advancement, publication, and grant review. Here, sixteen computational biologists around the globe present "A field guide to cultivating computational biology," focusing on solutions.
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影响因子：
46.9
作者：
Loman, Nick;Watson, Mick
通讯作者：
Watson, Mick
DOI：
10.1038/s41436-020-01056-y
发表时间：
2021-04
期刊：
Genetics in medicine : official journal of the American College of Medical Genetics
影响因子：
--
作者：
Lau-Min KS;Asher SB;Chen J;Domchek SM;Feldman M;Joffe S;Landgraf J;Speare V;Varughese LA;Tuteja S;VanZandbergen C;Ritchie MD;Nathanson KL
通讯作者：
Nathanson KL
DOI：
10.1038/s41576-020-0257-5
发表时间：
2020-10
期刊：
Nature reviews. Genetics
影响因子：
--
作者：
Byrd JB;Greene AC;Prasad DV;Jiang X;Greene CS
通讯作者：
Greene CS
影响因子：
3.3
作者：
Goodwin SS
通讯作者：
Goodwin SS
影响因子：
3.7
作者：
Kurtzer GM;Sochat V;Bauer MW
通讯作者：
Bauer MW