Biological Sequence Analysis

Biological Sequence Analysis

Author: Richard Durbin

Publisher: Cambridge University Press

ISBN: 9781139457392

Category: Science

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Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
Biological Sequence Analysis
Language: en
Pages:
Authors: Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison
Categories: Science
Type: BOOK - Published: 1998-04-23 - Publisher: Cambridge University Press

Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring
Biological Sequence Analysis
Language: en
Pages: 368
Authors: Richard Durbin, Anders Krogh
Categories: Science
Type: BOOK - Published: 2005-02-01 - Publisher:

Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring
Problems and Solutions in Biological Sequence Analysis
Language: en
Pages:
Authors: Mark Borodovsky, Svetlana Ekisheva
Categories: Science
Type: BOOK - Published: 2006-09-04 - Publisher: Cambridge University Press

This book is the first of its kind to provide a large collection of bioinformatics problems with accompanying solutions. Notably, the problem set includes all of the problems offered in Biological Sequence Analysis (BSA), by Durbin et al., widely adopted as a required text for bioinformatics courses at leading universities
High Performance Computational Methods for Biological Sequence Analysis
Language: en
Pages: 212
Authors: Tieng K. Yap, Ophir Frieder, Robert L. Martino
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

High Performance Computational Methods for Biological Sequence Analysis presents biological sequence analysis using an interdisciplinary approach that integrates biological, mathematical and computational concepts. These concepts are presented so that computer scientists and biomedical scientists can obtain the necessary background for developing better algorithms and applying parallel computational methods. This book
Multiple Biological Sequence Alignment
Language: en
Pages: 248
Authors: Ken Nguyen, Xuan Guo, Yi Pan
Categories: Computers
Type: BOOK - Published: 2016-06-10 - Publisher: John Wiley & Sons

Covers the fundamentals and techniques of multiple biological sequence alignment and analysis, and shows readers how to choose the appropriate sequence analysis tools for their tasks This book describes the traditional and modern approaches in biological sequence alignment and homology search. This book contains 11 chapters, with Chapter 1 providing