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Probabilistic and Statistical Modelling in Bioinformatics

By Timo Koski

Abstract

Introduction to Bioinformatics 2001 2001-12-04 Probabilistic and Statistical Modelling in Bioinformatics Timo Koski tikos@mai.liu.se Department of Mathematics Link\u7foping Institute of Technology (LiTH) University of Link\u7foping, S 581 83 Link\u7foping, Sweden CONTENTS Part 1 Why Should We Use Statistics & Probability in Bioinformatics? Part 3 Some Markovian Probabilistic Models for Sequences Part 5 Appendix A: Some Basic Terminology in Molecular Biology Part 6 Appendix B: Distribution of the Maximal Score for a Weight Matrix Part 1 Why Should We Use Statistics & Probability in Bioinformatics? 1.1. Introduction After initial sequencing of the genomes of many species the task of checking, organizing and understanding the generated sequence data becomes important. These tasks present great opportunities to all mathematical scientists, especially to computer scientists, mathematicians and statisticians. According to (Gus eld 1997) bioinformatics refers to a wide range

Year: 2001
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