Bioinformatics Sequence Alignment And Markov Models
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Bioinformatics Sequence Alignment And Markov Models
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Author : Kal Renganathan Sharma
language : en
Publisher: McGraw Hill Professional
Release Date : 2008-09-29
Bioinformatics Sequence Alignment And Markov Models written by Kal Renganathan Sharma and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-29 with Technology & Engineering categories.
GET FULLY UP-TO-DATE ON BIOINFORMATICS-THE TECHNOLOGY OF THE 21ST CENTURY Bioinformatics showcases the latest developments in the field along with all the foundational information you'll need. It provides in-depth coverage of a wide range of autoimmune disorders and detailed analyses of suffix trees, plus late-breaking advances regarding biochips and genomes. Featuring helpful gene-finding algorithms, Bioinformatics offers key information on sequence alignment, HMMs, HMM applications, protein secondary structure, microarray techniques, and drug discovery and development. Helpful diagrams accompany mathematical equations throughout, and exercises appear at the end of each chapter to facilitate self-evaluation. This thorough, up-to-date resource features: Worked-out problems illustrating concepts and models End-of-chapter exercises for self-evaluation Material based on student feedback Illustrations that clarify difficult math problems A list of bioinformatics-related websites Bioinformatics covers: Sequence representation and alignment Hidden Markov models Applications of HMMs Gene finding Protein secondary structure prediction Microarray techniques Drug discovery and development Internet resources and public domain databases
Protein Homology Detection Through Alignment Of Markov Random Fields
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Author : Jinbo Xu
language : en
Publisher: Springer
Release Date : 2015-01-22
Protein Homology Detection Through Alignment Of Markov Random Fields written by Jinbo Xu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-22 with Computers categories.
This work covers sequence-based protein homology detection, a fundamental and challenging bioinformatics problem with a variety of real-world applications. The text first surveys a few popular homology detection methods, such as Position-Specific Scoring Matrix (PSSM) and Hidden Markov Model (HMM) based methods, and then describes a novel Markov Random Fields (MRF) based method developed by the authors. MRF-based methods are much more sensitive than HMM- and PSSM-based methods for remote homolog detection and fold recognition, as MRFs can model long-range residue-residue interaction. The text also describes the installation, usage and result interpretation of programs implementing the MRF-based method.
Biological Sequence Analysis
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Author : Richard Durbin
language : en
Publisher: Cambridge University Press
Release Date : 1998-04-23
Biological Sequence Analysis written by Richard Durbin and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-23 with Science categories.
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
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Author : Richard Durbin
language : en
Publisher: Cambridge University Press
Release Date : 1998-04-23
Biological Sequence Analysis written by Richard Durbin and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-23 with Science categories.
Presents up-to-date computer methods for analysing DNA, RNA and protein sequences.
Hidden Markov Models For Bioinformatics
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Author : T. Koski
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-11-30
Hidden Markov Models For Bioinformatics written by T. Koski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11-30 with Mathematics categories.
The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models that have turned out to be useful in genome analysis. Questions of parametric inference, selection between model families, and various architectures are treated. Several examples are given of known architectures (e.g., profile HMM) used in genome analysis. Audience: This book will be of interest to advanced undergraduate and graduate students with a fairly limited background in probability theory, but otherwise well trained in mathematics and already familiar with at least some of the techniques of algorithmic sequence analysis.
Handbook Of Hidden Markov Models In Bioinformatics
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Author : Martin Gollery
language : en
Publisher: CRC Press
Release Date : 2008-06-12
Handbook Of Hidden Markov Models In Bioinformatics written by Martin Gollery and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-12 with Computers categories.
Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models in Bioinformatics focuses on how to choose and use various methods and programs available for hidden Markov models (HMMs). The book begins with discussions on key HMM and related profile methods, incl
Bioinformatics
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Author : David W. Mount
language : en
Publisher: CSHL Press
Release Date : 2004
Bioinformatics written by David W. Mount and has been published by CSHL Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Science categories.
As more species' genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes. The book has been rewritten to make it more accessible to a wider audience, including advanced undergraduate and graduate students. New features include chapter guides and explanatory information panels and glossary terms. New chapters in this second edition cover statistical analysis of sequence alignments, computer programming for bioinformatics, and data management and mining. Practically oriented problems at the ends of chapters enhance the value of the book as a teaching resource. The book also serves as an essential reference for professionals in molecular biology, pharmaceutical, and genome laboratories.
Sequence Comparison
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Author : Kun-Mao Chao
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-11-27
Sequence Comparison written by Kun-Mao Chao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-27 with Computers categories.
Biomolecular sequence comparison is the origin of bioinformatics. This book gives a complete in-depth treatment of the study of sequence comparison. A comprehensive introduction is followed by a focus on alignment algorithms and techniques, proceeded by a discussion of the theory. The book examines alignment methods and techniques, features a new issue of sequence comparison - the spaced seed technique, addresses several new flexible strategies for coping with various scoring schemes, and covers the theory on the significance of high-scoring segment pairs between two unalignment sequences. Useful appendices on basic concepts in molecular biology, primer in statistics and software for sequence alignment are included in this reader-friendly text, as well as chapter-ending exercise and research questions A state-of-the-art study of sequence alignment and homology search, this is an ideal reference for advanced students studying bioinformatics and will appeal to biologists who wish to know how to use homology search tools.
Sequence Alignment
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Author : Michael S. Rosenberg
language : en
Publisher: Univ of California Press
Release Date : 2009
Sequence Alignment written by Michael S. Rosenberg and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
The sequencing of the human genome involved thousands of scientists but used relatively few tools. Obtaining sequences is simpler, but aligning the sequences remains a complicated but underappreciated aspect of comparative molecular biology. This book discusses the practice of alignment, and the procedures by which alignments are established.
Problems And Solutions In Biological Sequence Analysis
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Author : Mark Borodovsky
language : en
Publisher: Cambridge University Press
Release Date : 2006-09-04
Problems And Solutions In Biological Sequence Analysis written by Mark Borodovsky and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-04 with Science categories.
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, by Durbin et al. (Cambridge, 1998), widely adopted as a required text for bioinformatics courses at leading universities worldwide. Although many of the problems included in Biological Sequence Analysis 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 Biological Sequence Analysis 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 MSc degree program in Bioinformatics was held.