Computational molecular biology

  • 645 Pages
  • 0.53 MB
  • 9127 Downloads
  • English

Elsevier , Amsterdam, New York
Molecular biology -- Mathematics, Molecular biology -- Computer simul
Statementedited by Jerzy Leszczynski.
SeriesTheoretical and computational chemistry -- 8.
ContributionsLeszczynski, Jerzy, 1949-
Classifications
LC ClassificationsQH506 .C642 1999
The Physical Object
Paginationxv, 645 p. :
ID Numbers
Open LibraryOL18820727M
ISBN 100444500308
LC Control Number99031225
OCLC/WorldCa41326313

Computational Molecular Biology seriesComputer science and mathematics are transforming molecular biology from an informational to a computational science.

Drawing on computational, statistical, experimental, and technological methods, the new discipline of computational molecular biology is dramatically increasing the discovery of new technologies and tools for molecular by: Computational Molecular Biology.

Computational molecular biology brings together computational, statistical, experimental, and technological methods in order to further scientific discovery and develop new analytical tools for molecular biology.

Computational Molecular Biology series Computer science and mathematics are transforming molecular biology from an informational to a computational science.

Drawing on computational, statistical, experimental, and technological methods, the new discipline of computational molecular biology is dramatically increasing the discovery of new technologies and tools for molecular biology.

By covering a wide range of combinatorial problems that arise in computational molecular biology, this book enables researchers, computer scientists, life scientists, mathematicians, graduate students, and senior undergraduates to deal with more complex issues and richer data by: This book constitutes the refereed proceedings of the 16th Annual International Conference on Research in Computational Molecular Biology, RECOMBheld in Barcelona, Spain, in April The 31 revised full papers presented together with 5 keynote lectures were carefully reviewed and selected.

This book constitutes the refereed proceedings of the 16th Annual International Conference on Research in Computational Molecular Biology, RECOMBheld in Barcelona, Spain, in April The   About this book This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology.

Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field.

This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides.

Get this from a library. RECOMB proceedings of the Fifth Annual International Conference on Computational Biology, April, Montreal, Canada. [Thomas Lengauer; ACM Special Interest Group for Automata and Computability Theory.; Celera Genomics.;].

This book highlights those areas of the mathematical, statistical, and computational sciences that are important in cutting-edge research in molecular biology. It also tries to illustrate to the molecular biology community the role of mathematical methodologies in solving biomolecular problems.

Author(s): Eric S. Lander and Michael S. Waterman. Purchase Computational Methods in Molecular Biology, Volume 32 - 1st Edition. Print Book & E-Book. ISBNAbstract. Systems biology combines experimental and computational research to facilitate understanding of complex biological processes.

In this chapter we describe data repositories, data standards, modeling, and visualization tools as prerequisites for systems biology research in order to help us to better study and understand biological processes. The book purports to be a "self-contained introduction" to computational biology.

It fails on both counts due to its excessive ambition, its opaque pedagogy, and a large number of significant typographical errors, such as entire subroutines missing from pseudocode examples/5(3). This book constitutes the proceedings of the 23 rd Annual Conference on Research in Computational Molecular Biology, RECOMBheld in Washington, DC, USA, in April The 17 extended and 20 short abstracts presented were carefully reviewed and selected from submissions.

The short abstracts are included in the back matter of the volume. Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics.

This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology. Introduction to Computational Biology exposes the reader to the fascinating structure of biological data and explains how to treat related combinatorial and statistical problems.

Written to describe mathematical formulation and development, this book helps set the stage for even more, truly interdisciplinary work in by: The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data.

It explains the big-picture concepts in data analysis using a wide variety of real-world molecular biological examples such as eQTLs, ortholog identification, motif finding, inference of population structure, protein fold prediction and many by: 1.

This book highlights those areas of the mathematical, statistical, and computational sciences that are important in cutting-edge research in molecular biology.

It also tries to illustrate to the molecular biology community the role of mathematical methodologies in solving biomolecular problems.

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Computational Molecular Biology: An Algorithmic Approach. In one of the first major texts in the emerging field of computational molecular biology, Pavel Pevzner covers a broad range of algorithmic and combinatorial topics and shows how they are connected to molecular biology and to biotechnology/5(11).

Computational Molecular Biology: An Introduction Peter Clote and Rolf Backofen, John Wiley & Sons, Inc. Source Code for Selected Algorithms Unless otherwise specified, all programs were written by P. Clote, or in some cases by students working with P.

Clote. Most of the programs are written C, though some are in Java and C++. A survey of current topics in computational molecular biology.

Computational molecular biology, or bioinformatics, draws on the disciplines of biology, mathematics, statistics, physics, chemistry, computer science, and engineering.

It provides the computational support for functional genomics, which links the behavior of cells, organisms, and populations to the information encoded in the. Recently molecular biology has undergone unprecedented development generating vast quantities of data needing sophisticated computational methods for analysis, processing and archiving.

This requirement has given birth to the truly interdisciplinary field of computational biology, or Price: $ Computational molecular biology: an introduction Peter Clote, Rolf Backofen Primarily aimed at advanced undergraduate and graduate students from bioinformatics, computer science, statistics, mathematics and the biological sciences, this text will also interest researchers from these fields.

In one of the first major texts in the emerging field of computational molecular biology, Pavel Pevzner covers a broad range of algorithmic and combinatorial topics and shows how they are connected to molecular biology and to biotechnology.

The book has a substantial "computational biology without formulas" component. Purchase Computational Molecular Biology, Volume 8 - 1st Edition. Print Book & E-Book.

Details Computational molecular biology EPUB

ISBNThis book constitutes the proceedings of the 22nd Annual Conference on Research in Computational Molecular Biology, RECOMBheld in Paris, France, in April The 16 extended and 22 short abstracts presented were carefully reviewed and selected from submissions. Book Abstract: Computational molecular biology, or bioinformatics, draws on the disciplines of biology, mathematics, statistics, physics, chemistry, computer science, and engineering.

It provides the computational support for functional genomics, which links the behavior of cells, organisms, and populations to the information encoded in the. The Handbook of Computational Molecular Biology is the first resource to integrate coverage of the broad spectrum of topics in computational biology and bioinformatics.

It supplies a quick-reference guide for easy implementation and provides a strong foundation for future discoveries in the field.

Description Computational molecular biology EPUB

Computational Molecular Biology. Molecular biology is a branch of biology that concerns the molecular basis of biological activity between biomolecules in the various systems of a cell, including the interactions between DNA, RNA, proteins and their biosynthesis, as well as the regulation of these interactions.

Writing in Nature inWilliam Astbury described molecular biology as. Introduction to Computational Molecular Biology and Genomics. This tutorials covers the following topics: Sequence Comparison, Sequence Motifs, Phylogeny, Protein structure, Gene Finding and Gene expression analysis.

Author(s): Mona Singh. Computational Biology Books Following is the list of computational biology books sorted by title. Additions to this list would be welcome. One of the best brief introductions to bioinformatics for biologists is the Trends Guide to Bioinformatics (free, requires registration).Steven Brenner.Computational Molecular Biology.

Edited by Jerzy Leszczynski. Volume 8, Pages () Download full volume. Previous volume. Next volume. Actions for selected chapters. Select all / Deselect all. Download PDFs Export citations. Book chapter Full text access Chapter 7 - Application of Molecular Orbital Theory to the Elucidation of.This book constitutes the refereed proceedings of the 17th Annual International Conference on Research in Computational Molecular Biology, RECOMBheld in Beijing, China, in April The 32 revised full papers were carefully reviewed and selected from submissions.