
Introduction to Computational Biology
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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.
Reviews / Votes
"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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