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Bioinformatics; sequence alignment and Markov models.

9780071593069

Bioinformatics; sequence alignment and Markov models.

Sharma, Kal Renganathan.

McGraw-Hill

2009

320 pages

$115.00

Hardcover

QH324

Now spurred by advances in biochips and genome research Genome Research is the title of a peer-reviewed scientific journal published by Cold Spring Harbor Laboratory Press. The focus of the journal is on genome-wide studies in any organism, including single gene studies that are placed in a genomic context. , 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 Prairie View may refer to:
  • Prairie View, Texas, a city in the United States
  • Prairie View, Illinois, a town in the United States
  • Prairie View A&M University, a university located in Prairie View, Texas
  • Prairie View was formerly the name of Bridge City, Texas.
 A&M U.) clearly appreciates the diversity of bioinformatics and the researchers practicing it, beginning by reviewing molecular biology molecular biology, scientific study of the molecular basis of life processes, including cellular respiration, excretion, and reproduction. The term molecular biology was coined in 1938 by Warren Weaver, then director of the natural sciences program at the Rockefeller , probability and statistics See the separate articles on probability or the article on statistics. Statistical analysis depends on the characteristics of particular probability distributions, and the two topics are normally studied together.  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 A hidden Markov model (HMM) is a statistical model in which the system being modeled is assumed to be a Markov process with unknown parameters, and the challenge is to determine the hidden parameters from the observable parameters.  (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
Words:171
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