Estimating the information content of genetic sequence data

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Steinar Thorvaldsen, O. Hössjer
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引用次数: 0

Abstract

A prominent problem in analysing genetic information has been a lack of mathematical frameworks for doing so. This article offers some new statistical methods to model and analyse information content in proteins, protein families, and their sequences. We discuss how to understand the qualitative aspects of genetic information, how to estimate the quantitative aspects of it, and implement a statistical model where the qualitative genetic function is represented jointly with its probabilistic metric of self-information. The functional information of protein families in the Cath and Pfam databases are estimated using a method inspired by rejection sampling. Scientific work may place these components of information as one of the fundamental aspects of molecular biology.
基因序列数据信息量的估计
分析遗传信息的一个突出问题是缺乏这样做的数学框架。本文提供了一些新的统计方法来模拟和分析蛋白质、蛋白质家族及其序列的信息含量。我们讨论了如何理解遗传信息的定性方面,如何估计遗传信息的定量方面,并实现了一个统计模型,其中定性遗传函数与其自信息的概率度量联合表示。采用拒绝抽样的方法对Cath和Pfam数据库中蛋白质家族的功能信息进行了估计。科学工作可能把这些信息的组成部分作为分子生物学的一个基本方面。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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