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Sequence — Evolution — Function

Sequence — Evolution — Function
Author: Eugene V. Koonin
Publisher: Springer Science & Business Media
Total Pages: 482
Release: 2013-06-29
Genre: Science
ISBN: 1475737831

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Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.


Sequence — Evolution — Function

Sequence — Evolution — Function
Author: Eugene Koonin
Publisher: Springer
Total Pages: 462
Release: 2013-05-26
Genre: Science
ISBN: 9781475737844

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Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.


Sequence - Evolution - Function

Sequence - Evolution - Function
Author: Eugene V. Koonin
Publisher:
Total Pages: 0
Release: 2003
Genre: Evolutionary genetics
ISBN:

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Biological Sequence Analysis

Biological Sequence Analysis
Author: Richard Durbin
Publisher: Cambridge University Press
Total Pages: 372
Release: 1998-04-23
Genre: Science
ISBN: 113945739X

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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.


Probability Models for DNA Sequence Evolution

Probability Models for DNA Sequence Evolution
Author: Rick Durrett
Publisher: Springer Science & Business Media
Total Pages: 246
Release: 2013-03-09
Genre: Mathematics
ISBN: 1475762852

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"What underlying forces are responsible for the observed patterns of variability, given a collection of DNA sequences?" In approaching this question a number of probability models are introduced and anyalyzed.Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies that illustrate the use of these results.


Structural Approaches to Sequence Evolution

Structural Approaches to Sequence Evolution
Author: Ugo Bastolla
Publisher: Springer Science & Business Media
Total Pages: 375
Release: 2007-05-26
Genre: Science
ISBN: 3540353062

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Recent advances in understanding the thermodynamics of macromolecules, the topological properties of gene networks, the organization and mutation capabilities of genomes, and the structure of populations make it possible to incorporate these key elements into a broader and deeply interdisciplinary view of molecular evolution. This book gives an account of such a new approach, through clear tutorial contributions by leading scientists.


Computational Methods in Protein Evolution

Computational Methods in Protein Evolution
Author: Tobias Sikosek
Publisher: Humana
Total Pages: 0
Release: 2018-10-09
Genre: Science
ISBN: 9781493987351

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This volume presents a diverse collection of methodologies used to study various problems at the protein sequence and structure level. The chapters in this book look at issues ranging from broad concepts like protein space to specifics like antibody modeling. Topics include point mutations, gene duplication, de novo emergence of new genes, pairwise correlated mutations, ancestral protein reconstruction, homology modelling, protein stability and dynamics, and protein-protein interactions. The book also covers a wide range of computational approaches, including sequence and structure alignments, phylogenies, physics-based and mathematical approaches, machine learning, and more. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and prerequisites, step-by-step, readily reproducible computational protocols (using command line or graphical user interfaces, sometimes including computer code), and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and authoritative, Computational Methods in Protein Evolution is a valuable resource that offers useful workflows and techniques that will help both novice and expert researchers working with proteins computationally.


Handbook of Comparative Genomics

Handbook of Comparative Genomics
Author: Cecilia Saccone
Publisher: John Wiley & Sons
Total Pages: 453
Release: 2003-02-07
Genre: Science
ISBN: 047139128X

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This comprehensive reference covers the comparative methodology involved in studying molecular evolution. Providing a practical introduction to the role of bioinformatics in comparative genomics, this publication further discusses the basic technology used in genome sequencing projects and provides an overview of genome storage databases currently in use. This timely and cutting-edge text also: * Reviews the basic principles of genomics and gene expression analysis * Discusses analytic methods in proteomics and transcriptomics * Includes a comprehensive list of Web resource


Bioinformatics and Molecular Evolution

Bioinformatics and Molecular Evolution
Author: Paul G. Higgs
Publisher: John Wiley & Sons
Total Pages: 532
Release: 2013-04-30
Genre: Science
ISBN: 1118697065

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In the current era of complete genome sequencing, Bioinformatics and Molecular Evolution provides an up-to-date and comprehensive introduction to bioinformatics in the context of evolutionary biology. This accessible text: provides a thorough examination of sequence analysis, biological databases, pattern recognition, and applications to genomics, microarrays, and proteomics emphasizes the theoretical and statistical methods used in bioinformatics programs in a way that is accessible to biological science students places bioinformatics in the context of evolutionary biology, including population genetics, molecular evolution, molecular phylogenetics, and their applications features end-of-chapter problems and self-tests to help students synthesize the materials and apply their understanding is accompanied by a dedicated website - www.blackwellpublishing.com/higgs - containing downloadable sequences, links to web resources, answers to self-test questions, and all artwork in downloadable format (artwork also available to instructors on CD-ROM). This important textbook will equip readers with a thorough understanding of the quantitative methods used in the analysis of molecular evolution, and will be essential reading for advanced undergraduates, graduates, and researchers in molecular biology, genetics, genomics, computational biology, and bioinformatics courses.