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Methods for Computational Gene Prediction
William H. Majoros
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Description for Methods for Computational Gene Prediction
paperback. A self-contained, rigorous text describing models used to identify genes in genomic DNA sequences. Num Pages: 448 pages, 139 b/w illus. 30 tables 263 exercises. BIC Classification: PSAK1. Category: (P) Professional & Vocational. Dimension: 177 x 246 x 22. Weight in Grams: 886.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2007
Publisher
Cambridge University Press
Number of pages
448
Condition
New
Number of Pages
448
Place of Publication
Cambridge, United Kingdom
ISBN
9780521706940
SKU
V9780521706940
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-12
About William H. Majoros
W. H. Majoros is Staff Scientist at the Center for Bioinformatics and Computational Biology, in the Institute for Genome Sciences and Policy at Duke University. He has worked as a research scientist in the fields of computational biology, natural language processing, and information retrieval for over a decade. He was part of the human genome project at Celera Genomics and ... Read more
Reviews for Methods for Computational Gene Prediction
"... groundbreaking book..." Books-On-Line