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Methods For Computational Gene Prediction

Methods For Computational Gene Prediction

Methods For Computational Gene Prediction
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Methods For Computational Gene Prediction Paperback - 2007

by William H. Majoros

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New/New. Brand New Original US Edition, Perfect Condition. Printed in English. Excellent Quality, Service and customer satisfaction guaranteed!
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Details

  • Title Methods For Computational Gene Prediction
  • Author William H. Majoros
  • Binding Paperback
  • Edition 1st
  • Condition New
  • Pages 448
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date September 3, 2007
  • Illustrated Yes
  • Bookseller's Inventory # BIBNNA-141771
  • ISBN 9780521706940 / 0521706947
  • Weight 1.96 lbs (0.89 kg)
  • Dimensions 9.73 x 6.89 x 0.79 in (24.71 x 17.50 x 2.01 cm)
  • Category Science
  • Library of Congress subjects Bioinformatics, Genomics - Data processing
  • Library of Congress Catalogue Number 2007299649
  • Dewey Decimal Code 572.860
  • Quantity available 1

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Reader reviews for Methods For Computational Gene Prediction

From the publisher

Inferring the precise locations and splicing patterns of genes in DNA is a difficult but important task, with broad applications to biomedicine. The mathematical and statistical techniques that have been applied to this problem are surveyed and organized into a logical framework based on the theory of parsing. Both established approaches and methods at the forefront of current research are discussed. Numerous case studies of existing software systems are provided, in addition to detailed examples that work through the actual implementation of effective gene-predictors using hidden Markov models and other machine-learning techniques. Background material on probability theory, discrete mathematics, computer science, and molecular biology is provided, making the book accessible to students and researchers from across the life and computational sciences. This book is ideal for use in a first course in bioinformatics at graduate or advanced undergraduate level, and for anyone wanting to keep pace with this rapidly-advancing field.
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