Description
Springer Computational Genome Analysis An Introduction by Richard C. Deonier, Simon Tavare, Michael S. Waterman
This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters._x000D_ Table of contents :- _x000D_
Biology in a Nutshell.- Words.- Word Distributions and Occurrences.- Physical Mapping of DNA.- Genome Rearrangements.- Sequence Alignment.- Rapid Alignment Methods: FASTA and BLAST.- DNA Sequence Assembly.- Signals in DNA.- Similarity, Distance, and Clustering.- Measuring Expression of Genome Information.- Inferring the Past: Phylogenetic Trees.- Genetic Variation in Populations.- Comparative Genomics._x000D_