As is typical of contemporary cutting-edge interdisciplinary fields, computational biology touches and impacts many disciplines ranging from fundamental studies in the areas of genomics, proteomics transcriptomics, lipidomics to practical applications such as personalized medicine, drug discovery, and synthetic biology. This editorial examines the multifaceted role computational biology plays. Using the tools of deep learning, it can make powerful predictions of many biological variables, which may not provide a deep understanding of what factors contribute to the phenomena. Alternatively, it can provide the how and the why of biological processes. Most importantly, it can help guide and interpret what experiments and biological systems to study.
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November 2017
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Editorial|
November 14 2017
Integrating the whole from the sum of the parts: vignettes in computational biology Available to Purchase
Jeffrey Skolnick
1Center for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, U.S.A.
Correspondence: Jeffrey Skolnick ([email protected])
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Publisher: Portland Press Ltd
Received:
September 28 2017
Revision Received:
October 05 2017
Accepted:
October 05 2017
Online ISSN: 2397-8562
Print ISSN: 2397-8554
© 2017 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society and the Royal Society of Biology
2017
Emerg Top Life Sci (2017) 1 (3): 241–243.
Article history
Received:
September 28 2017
Revision Received:
October 05 2017
Accepted:
October 05 2017
Citation
Jeffrey Skolnick, Jeffrey Skolnick; Integrating the whole from the sum of the parts: vignettes in computational biology. Emerg Top Life Sci 14 November 2017; 1 (3): 241–243. doi: https://doi.org/10.1042/ETLS20170137
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