Biologists rely on computational methods to analyze and integrate large data sets, while several computational methods were inspired by the high-level design principles of biological systems. This Perspectives discusses the recent convergence of these two ways of thinking

Afek Y

Beckers R

Bishop CM

Charalambous C

Coore D

Daliot A

Deneubourg JL

Ferber J

Forrest S

Goldberg DE

Hebb DO

Jhuang H

Kennedy J

Kephart JO

Luby M

Lynch NA

Păun G

Ren H

Rendel JM

Saket Navlakha

Serre T

Shapiro LG

Szeliski R

Vazirani V

Werner‐Allen G

Wokoma I

Zhu X

Ziv Bar‐Joseph

Molecular Systems Biology

English

PubMed

Computer science and biology have enjoyed a long and fruitful relationship for decades. Biologists rely on computational methods to analyze and integrate large data sets, while several computational methods were inspired by the high-level design principles of biological systems. Recently, these two directions have been converging. In this review, we argue that thinking computationally about biological processes may lead to more accurate models, which in turn can be used to improve the design of algorithms. We discuss the similar mechanisms and requirements shared by computational and biological processes and then present several recent studies that apply this joint analysis strategy to problems related to coordination, network analysis, and tracking and vision. We also discuss additional biological processes that can be studied in a similar manner and link them to potential computational problems. With the rapid accumulation of data detailing the inner workings of biological systems, we expect this direction of coupling biological and computational studies to greatly expand in the future

Navlakha,  S.

Bar-Joseph,  Z.

Cold Spring Harbor Laboratory Institutional Repository

Algorithms in nature: the convergence of systems biology and computational thinking

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http://repository.cshl.edu/38688/1/Navlakha_2011_molsbio.pdf

Algorithms in nature: the convergence of systems biology and computational thinking

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