Estimating the information content of genetic sequence data
本文提出新统计方法，用于建模和分析蛋白质、蛋白质家族及其序列中的信息含量，并利用拒绝采样法估计Cath和Pfam数据库中蛋白质家族的功能信息。
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.