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Computer Analysis of Genetic Macromolecules

Author: N. A. Kolchanov

Publisher: World Scientific

Published: 1994

Total Pages: 590

ISBN-13: 9789810213787

Molecular biology and genetics are fast-growing fields with significant results and findings being reported virtually every day. Raw data from the wet lab accumulate at an astonishing rate, making it necessary to analyze the biological data with the use of computers. This book reveals how the current challenges of molecular biology and genetics are met with computer and mathematical treatments. A combined effort of the Computational Genetics and Biophysics Group (Supercomputer Computations Research Institute, USA), the Theoretical Molecular Genetics (Russian Academy of Sciences, Russia) and the Bioinformatics Group (Consiglio Nazionale delle Ricerche, Italy), many of these findings are firsthand discoveries made by these groups. The book emphasizes the fundamental principles of the structural-functional organization of the 3 major classes of genetic macromolecules: DNA, RNA and proteins. It also introduces universally applicable theoretical principles into the enormous realm of raw data and develops an integrative, theoretical computer approach to the analysis of these macromolecules to gain insights into the complexities of their function and evolution.

Computer Methods for Macromolecular Sequence Analysis

Author: Russell F. Doolittle

Publisher: Academic Press

Published: 1996-05-23

Total Pages: 760

ISBN-13:

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This volume supplements Volume 183 in the "Methods in Enyzmology" series and complements Volume 224. It addresses a variety of areas in which computers are used to manage and manipulate macromolecular sequence data. The manipulations include searching, aligning and determining the significance of similarities as well as the construction of phylogenetic trees that show evolutionary history of related sequences

A Bibliography on Computational Molecular Biology and Genetics

Author: Sarah Barron

Publisher: DIANE Publishing

Published: 1991

Total Pages: 120

ISBN-13: 9780941375917

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Provides a definitive bibliographic review of the literature related to DNA mapping and sequence analysis, with a focus on computer and mathematical aspects of molecular biology and genetics. Over 2200 entries, arranged by author's name.

Biological Sequence Analysis

Author: Richard Durbin

Publisher: Cambridge University Press

Published: 1998-04-23

Total Pages: 372

ISBN-13: 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.

Sequence — Evolution — Function

Author: Eugene V. Koonin

Publisher: Springer Science & Business Media

Published: 2013-06-29

Total Pages: 482

ISBN-13: 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.

Molecular Biology of The Cell

Author: Bruce Alberts

Publisher:

Published: 2002

Total Pages: 0

ISBN-13: 9780815332183

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Bioinformatics Basics

Author: Hooman H. Rashidi

Publisher: CRC Press

Published: 1999-12-15

Total Pages: 210

ISBN-13: 9780849323751

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Scientists in the throes of research use an extensive data bank to access structural information on proteins and nucleic acids. Meanwhile, geneticists use a highly specialized form of software to analyze the hybridization pattern of DNA chips. The past decade has been tremendously successful for biotechnology and pharmaceutical industries. This success has been a result of astounding technical advancements in genome sequencing (genomics), protein identification (proteomics), and data analysis-collectively called bioinformatics. The exponential increase in computer processing and disk storage has served as a catalyst and been instrumental in the development of bioinformatics. Bioinformatics Basics: Applications in Biological Science and Medicine describes the origin of this field and the organization of public domain databases with an introductory tutorial for the services described. This book explains these services in a relatively simple fashion. Nevertheless, a biological background is necessary to understand and properly utilize the various software components and services described in this book. A basic biological background is also necessary for understanding the biological and medical significance of the collected data. Bioinformatics Basics is a fast growing field, and it will take some years for a stabilization to occur. Until then, hundreds of Internet sites allow us to search, compare, and manipulate this data in its relatively raw format. Bioinformatics Basics: Applications in Biological Science and Medicine concentrates on three major database clusters and relevant software tools that are maintained in the United States, Europe, and Japan, offering free access and analysis through the Internet.

Bioinformatics Computing

Author: Bryan P. Bergeron

Publisher: Prentice Hall Professional

Published: 2003

Total Pages: 472

ISBN-13: 9780131008250

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Comprehensive and concise, this handbook has chapters on computing visualization, large database designs, advanced pattern matching and other key bioinformatics techniques. It is a practical guide to computing in the growing field of Bioinformatics--the study of how information is represented and transmitted in biological systems, starting at the molecular level.

Bioinformatics for Beginners

Author: Supratim Choudhuri

Publisher: Elsevier

Published: 2014-05-09

Total Pages: 238

ISBN-13: 0124105106

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Bioinformatics for Beginners: Genes, Genomes, Molecular Evolution, Databases and Analytical Tools provides a coherent and friendly treatment of bioinformatics for any student or scientist within biology who has not routinely performed bioinformatic analysis. The book discusses the relevant principles needed to understand the theoretical underpinnings of bioinformatic analysis and demonstrates, with examples, targeted analysis using freely available web-based software and publicly available databases. Eschewing non-essential information, the work focuses on principles and hands-on analysis, also pointing to further study options. Avoids non-essential coverage, yet fully describes the field for beginners Explains the molecular basis of evolution to place bioinformatic analysis in biological context Provides useful links to the vast resource of publicly available bioinformatic databases and analysis tools Contains over 100 figures that aid in concept discovery and illustration

Data Mining for Genomics and Proteomics

Author: Darius M. Dziuda

Publisher: John Wiley & Sons

Published: 2010-07-16

Total Pages: 348

ISBN-13: 0470593407

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Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can be used to maximize the chance of extracting new and useful biomedical knowledge from data. It is an excellent resource for students and professionals involved with gene or protein expression data in a variety of settings.