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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