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Estimating the information content of genetic sequence data
Stockholm University, Faculty of Science, Department of Mathematics.ORCID iD: 0000-0003-2767-8818
Number of Authors: 22023 (English)In: The Journal of the Royal Statistical Society, Series C: Applied Statistics, ISSN 0035-9254, E-ISSN 1467-9876, Vol. 72, no 5, p. 1310-1338Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2023. Vol. 72, no 5, p. 1310-1338
Keywords [en]
functional information, mutual information, rejection sampling, self-information
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:su:diva-221410DOI: 10.1093/jrsssc/qlad062ISI: 001032671000001Scopus ID: 2-s2.0-85183119634OAI: oai:DiVA.org:su-221410DiVA, id: diva2:1798843
Available from: 2023-09-20 Created: 2023-09-20 Last updated: 2024-03-04Bibliographically approved

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Hössjer, Ola

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