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Bioinformatics; sequence alignment and Markov models.


Bioinformatics; sequence alignment and Markov models.

Sharma, Kal Renganathan.



320 pages




Now spurred by advances in biochips and genome research, this relatively new field has grown dramatically from the days when it was primarily used to yield detailed, accurate information on the progress of disease in the population and service levels. Sharma (chemical engineering, Prairie View A&M U.) clearly appreciates the diversity of bioinformatics and the researchers practicing it, beginning by reviewing molecular biology, probability and statistics and notation. He then covers sequence alignment and representation, including alignment of a pair of sequences, sequence representation and string algorithms and multiple-sequence alignment. He offers a wealth of information on hidden Markov models (HMMs) and specifics on gene finding and protein secondary structure, moving to detail measurement techniques applying to biochips and electrophoretic methods and the finite speed of diffusion. Sharma's exercises with each chapter make this a good self-study guide as well as a comprehensive classroom text.

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Publication:SciTech Book News
Article Type:Book review
Date:Dec 1, 2008
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