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基因组学革命的跨学科演进。

Cross-disciplinary evolution of the genomics revolution.

机构信息

Ernest and Julio Gallo Management Program, Department of Management of Complex Systems, School of Engineering, University of California Merced, Merced, CA 95343, USA.

Computational Physiology Laboratory, University of Houston, Houston, TX 77204, USA.

出版信息

Sci Adv. 2018 Aug 15;4(8):eaat4211. doi: 10.1126/sciadv.aat4211. eCollection 2018 Aug.

Abstract

Born out of the Human Genome Project (HGP), the field of genomics evolved with phenomenal speed into a dominant scientific and business force. While other efforts were intent on estimating the economic impact of the genomics revolution, we shift focus to the social and cultural capital generated by bridging together biology and computing-two of the constitutive disciplines of "genomics". We quantify this capital by measuring the pervasiveness of bio-computing cross-disciplinarity () in genomics research during and after the HGP. To provide interlocking perspectives at the career and epistemic levels, we assembled three data sets to measure via (i) the collaboration network between 4190 biology and computing faculty from 155 departments in the United States, (ii) cross-departmental affiliations within a comprehensive set of human genomics publications, and (iii) the application of computational concepts and methods in research published in a preeminent genomics journal. Our results show the following: First, research featuring collaborations has higher citation impact than other disciplinary research-an effect observed at both the career and individual article levels. Second, genomics articles featuring methods tend to have higher citation impact than epistemically pure articles. Third, researchers of computing pedigree are drawn to the biology culture. This statistical evidence acquires deeper meaning when viewed against the organizational and knowledge transfer mechanisms revealed by the data models. With cross-disciplinary initiatives set to dominate the agenda of funding agencies, our case study provides a framework for appreciating the long-term effects of these initiatives on science and its standard-bearers.

摘要

人类基因组计划(HGP)催生了基因组学领域,该领域以惊人的速度发展成为主导的科学和商业力量。虽然其他研究旨在评估基因组学革命的经济影响,但我们将重点转移到通过将生物学和计算这两个“基因组学”的构成学科结合起来而产生的社会和文化资本上。我们通过测量 HGP 期间和之后的基因组学研究中生物计算跨学科性的普遍程度来量化这种资本。为了在职业和认识论层面提供连锁视角,我们收集了三个数据集来衡量 通过 (i) 来自美国 155 个系的 4190 名生物学和计算教师之间的合作网络,(ii) 综合人类基因组学出版物中的跨部门隶属关系,以及 (iii) 卓越的基因组学期刊中发表的研究中计算概念和方法的应用。我们的研究结果表明:首先,具有 合作的研究比其他学科的研究具有更高的引用影响力——这一效应在职业和个人文章层面都观察到。其次,具有 方法的基因组学文章比认识论上纯粹的文章更具有更高的引用影响力。第三,具有计算背景的研究人员被吸引到生物学文化中。当从数据模型揭示的组织和知识转移机制来看时,这种统计证据获得了更深的意义。随着跨学科计划设定为主导资助机构的议程,我们的案例研究为理解这些计划对科学及其标准制定者的长期影响提供了一个框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a0/6093681/5b3fc40d4648/aat4211-F1.jpg

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