Problems and Solutions in Biological Sequence Analysis

Problems and Solutions in Biological Sequence Analysis

Author: Mark Borodovsky

Publisher: Cambridge University Press

ISBN: 9781139458122

Category: Science

Page:

View: 351

Download BOOK »

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 worldwide. Although many of the problems included in BSA as exercises for its readers have been repeatedly used for homework and tests, no detailed solutions for the problems were available. Bioinformatics instructors had therefore frequently expressed a need for fully worked solutions and a larger set of problems for use on courses. This book provides just that: following the same structure as BSA and significantly extending the set of workable problems, it will facilitate a better understanding of the contents of the chapters in BSA and will help its readers develop problem-solving skills that are vitally important for conducting successful research in the growing field of bioinformatics. All of the material has been class-tested by the authors at Georgia Tech, where the first ever M.Sc. degree program in Bioinformatics was held.
Problems and Solutions in Biological Sequence Analysis
Language: un
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
Biological Sequence Analysis
Language: un
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: un
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
High Performance Computational Methods for Biological Sequence Analysis
Language: un
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
Genome-Scale Algorithm Design
Language: un
Pages: 413
Authors: Veli Mäkinen, Djamal Belazzougui, Fabio Cunial, Alexandru I. Tomescu
Categories: Science
Type: BOOK - Published: 2015-05-07 - Publisher: Cambridge University Press

Provides an integrated picture of the latest developments in algorithmic techniques, with numerous worked examples, algorithm visualisations and exercises.