Introduction to Computational Biology: Maps, Sequences and Genomes - Chapman & Hall/CRC Interdisciplinary Statistics (Hardback)
  • Introduction to Computational Biology: Maps, Sequences and Genomes - Chapman & Hall/CRC Interdisciplinary Statistics (Hardback)
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Introduction to Computational Biology: Maps, Sequences and Genomes - Chapman & Hall/CRC Interdisciplinary Statistics (Hardback)

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£120.00
Hardback 448 Pages / Published: 01/06/1995
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Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of information-packed databases. Inspired by a pressing need to analyze that data, Introduction to Computational Biology explores a new area of expertise that emerged from this fertile field- the combination of biological and information sciences.

This introduction describes the mathematical structure of biological data, especially from sequences and chromosomes. After a brief survey of molecular biology, it studies restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps. It examines problems associated with reading DNA sequences and comparing sequences to finding common patterns. The author then considers that statistics of pattern counts in sequences, RNA secondary structure, and the inference of evolutionary history of related sequences.

Introduction to Computational Biology exposes the reader to the fascinating structure of biological data and explains how to treat related combinatorial and statistical problems. Written to describe mathematical formulation and development, this book helps set the stage for even more, truly interdisciplinary work in biology.

Publisher: Taylor & Francis Ltd
ISBN: 9780412993916
Number of pages: 448
Weight: 748 g
Dimensions: 234 x 156 x 29 mm


MEDIA REVIEWS
"I very much enjoyed the book, and was delighted to recommend it...the use of molecular biology to introduce and illustrate application of sophisticated mathematical theory was excellent...as an illustration of the challenges and rewards of collaborative work, it is ideal."
-Statistics: Monash University

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