Uda Shinsuke
Division of Integrated Omics, Research Center for Transomics Medicine, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Biophys Rev. 2020 Apr;12(2):377-384. doi: 10.1007/s12551-020-00665-w. Epub 2020 Mar 6.
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.
近年来，细胞内信息处理的各个方面有了新的认识。如香农信息论所描述的信息量化，是一种基本且强大的工具，可应用于通信、统计、计算机科学等各个领域，以及细胞内的信息处理。它还被用于推断分子物种的网络结构。然而，获取足够样本量的困难以及生物学中经常遇到的与高维数据相关的计算负担，可能导致信息论在系统生物学应用中的瓶颈。本文概述了信息论在系统生物学中的应用，讨论了相关瓶颈并回顾了近期的工作。
