Exploring modularity in biological networks
Author(s) -
Maria Şerban
Publication year - 2020
Publication title -
philosophical transactions of the royal society b biological sciences
Language(s) - English
Resource type - Journals
eISSN - 1471-2970
pISSN - 0962-8436
DOI - 10.1098/rstb.2019.0316
Subject(s) - modularity (biology) , scope (computer science) , computer science , biological network , mathematical proof , set (abstract data type) , data science , theme (computing) , cognitive science , management science , epistemology , biology , psychology , computational biology , mathematics , philosophy , genetics , geometry , economics , programming language , operating system
Network theoretical approaches have shaped our understanding of many different kinds of biological modularity. This essay makes the case that to capture these contributions, it is useful to think about the role of network models in exploratory research. The overall point is that it is possible to provide a systematic analysis of the exploratory functions of network models in bioscientific research. Using two examples from molecular and developmental biology, I argue that often the same modelling approach can perform one or more exploratory functions, such as introducing new directions of research, offering a complementary set of concepts, methods and algorithms for individuating important features of natural phenomena, generating proofs of principle demonstrations and potential explanations for phenomena of interest and enlarging the scope of certain research agendas. This article is part of the theme issue ‘Unifying the essential concepts of biological networks: biological insights and philosophical foundations’.
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