Focusing on the roles of different segments of DNA, Statistics in Human Genetics and Molecular Biology provides a basic understanding of problems arising in the analysis of genetics and genomics. It presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses of gene expression data from microarray experiments.

The text introduces a diverse set of problems and a number of approaches that have been used to address these problems. It discusses basic molecular biology and likelihood-based statistics, along with physical mapping, markers, linkage analysis, parametric and nonparametric linkage, sequence alignment, and feature recognition. The text illustrates the use of methods that are widespread among researchers who analyze genomic data, such as hidden Markov models and the extreme value distribution. It also covers differential gene expression detection as well as classification and cluster analysis using gene expression data sets.

Ideal for graduate students in statistics, biostatistics, computer science, and related fields in applied mathematics, this text presents various approaches to help students solve problems at the interface of these areas.

About the Author

Cavan Reilly is associate professor of biostatistics at the University of Minnesota.

Reviews

Thankfully, some brave souls are willing to serve as guides to rigorous application and understanding of statistical approaches to genetically informative data. Cavan Reilly is among them. ... The book is self-contained and well organized, covering a substantial breadth of the core topics in genetics and genomics. ... this book is a valuable reference source for both statistics-oriented and human-genetics-oriented researchers and graduate students to learn the specialized methodology for analysis of diverse genetic data. ... a useful textbook for beginners trained in applied mathematics and statistics to take in a panoramic snapshot of the very evolving field of statistical genetics and genomics.
-Xiang-Yang Lou and David B. Allison, Biometrics, December 2011

Very useful for those taking courses in statistics and geneticists.
-Pediatric Endocrinology Reviews, Vol. 7, No. 4, June 2010

Book Information
ISBN 9781420072631
Author Cavan Reilly
Format Hardback
Page Count 280
Imprint Chapman & Hall/CRC
Publisher Taylor & Francis Ltd
Weight(grams) 544g