Application of information theory in systems biology

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    15 Citations (Scopus)

    Abstract

    Over recent years, new light has been shed on aspects of information processing in cells. The quantification of information, as described by Shannon’s information theory, is a basic and powerful tool that can be applied to various fields, such as communication, statistics, and computer science, as well as to information processing within cells. It has also been used to infer the network structure of molecular species. However, the difficulty of obtaining sufficient sample sizes and the computational burden associated with the high-dimensional data often encountered in biology can result in bottlenecks in the application of information theory to systems biology. This article provides an overview of the application of information theory to systems biology, discussing the associated bottlenecks and reviewing recent work.

    Original languageEnglish
    Pages (from-to)377-384
    Number of pages8
    JournalBiophysical Reviews
    Volume12
    Issue number2
    DOIs
    Publication statusPublished - Apr 1 2020

    All Science Journal Classification (ASJC) codes

    • Biophysics
    • Structural Biology
    • Molecular Biology

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