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Introduction to Computational Biology

Maps, Sequences and Genomes, Second Edition

By Michael S. Waterman, Ting Chen, Fengzhu Sun

Chapman and Hall/CRC – 2015 – 576 pages

Series: Chapman & Hall/CRC Interdisciplinary Statistics

Purchasing Options:

  • Hardback: $89.95
    978-1-43-986131-8
    June 26th 2015
    Not yet available

Description

This second edition is aimed at researchers and graduate students in the quantitative sciences needing an introduction to the application of mathematical, statistical and computational methods in molecular biology. It is well known for the quality of the exposition and the perfect balance of mathematical theory and biological aspects. The text includes the necessary mathematical details with lots of detailed real examples, without overburdening the reader with unnecessary proofs and formalisms. This new edition has been substantially updated and now includes new chapters on genome rearrangements, motif finding, gene prediction, gene and protein networks and future research directions.

Contents

Introduction to Biology

Problem Formulation and Restriction Maps

Algorithms and Analyzing Maps

Physical Genome Maps: Oceans, Islands and Anchol's

Sequence Assembly

Fast Sequence Comparison and Database Search

Dynamic Programming for Pairwise Alignments

Multiple Sequence Alignments

Genome Rearrangements

RNA Secondary Structures

Probability and Statistics for Sequence Alignment

Probability and Statistics for Sequence Patterns

Statistical Methods for Motif Finding

Trees and Sequences

Gene Prediction

Analysis of Gene and Protein Networks

Perspectives and Future

Author Bio

Michael S. Waterman, Ting Chen, and Fengzhu Sun are with the Departments of Biology, Computer Science and Mathematics at the University of Southern California, USA.

Related Subjects

  1. Bioinformatics

Name: Introduction to Computational Biology: Maps, Sequences and Genomes, Second Edition (Hardback)Chapman and Hall/CRC 
Description: By Michael S. Waterman, Ting Chen, Fengzhu Sun. This second edition is aimed at researchers and graduate students in the quantitative sciences needing an introduction to the application of mathematical, statistical and computational methods in molecular biology. It is well known for the quality of the...
Categories: Bioinformatics