Handbook of Computational Molecular Biology

Srinivas Aluru

December 21, 2005 by Chapman and Hall/CRC
Reference - 1104 Pages - 354 B/W Illustrations
ISBN 9781584884064 - CAT# C061
Series: Chapman & Hall/CRC Computer and Information Science Series

USD$194.95

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Features

  • Presents the first comprehensive distillation of accumulated knowledge in computational biology
  • Links each topic to applications in molecular biology while building on fundamental concepts
  • Takes an algorithmic point of view for immediate implementation and easy reference
  • Includes numerous illustrations to highlight the discussion as well as many references for more in-depth information
  • Summary

    The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology offers comprehensive, systematic coverage of the various techniques and methodologies currently available.

    Accomplished researcher Srinivas Aluru leads a team of experts from around the world to produce this groundbreaking, authoritative reference. With discussions ranging from fundamental concepts to practical applications, this book details the algorithms necessary to solve novel problems and manage the massive amounts of data housed in biological databases throughout the world. Divided into eight sections for convenient searching, the handbook covers methods and algorithms for sequence alignment, string data structures, sequence assembly and clustering, genome-scale computational methods in comparative genomics, evolutionary and phylogenetic trees, microarrays and gene expression analysis, computational methods in structural biology, and bioinformatics databases and data mining.

    The Handbook of Computational Molecular Biology is the first resource to integrate coverage of the broad spectrum of topics in computational biology and bioinformatics. It supplies a quick-reference guide for easy implementation and provides a strong foundation for future discoveries in the field.