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Introduction To Computational Molecular Biology (97 Edition)

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Introduction To Computational Molecular Biology (97 Edition) Cover

 

Synopses & Reviews

Please note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.

Publisher Comments:

Until now, those interested in the emerging field of computational molecular biology have used surveys and technical articles collected from many sources. Introduction to Computational Molecular Biology brings together major results in the field, in coherent and readable format. Setubal and Meidanis present a representative sample of problems in molecular biology, focusing on the algorithms that have been proposed to solve them. Readers will find background material on molecular biology, definitions of key terms, descriptions of models, and a full sample of algorithmic results. Key theoretical computer science concepts are emphasized, such as the improvement in asymtotic running time with better algorithms, the contrast between heuristics and an algorithm with guarantees, and the difficulty posed by NP-complete problems. Algorithms for sequence comparison, including the popular BLAST and FAST programs, are covered. Introduction to Computational Molecular Biology serves readers from both the mathematical and computing sciences as well as molecular biology. The authors assume a basic chemistry background and some training in college-level discrete mathematics and algorithms.

Synopsis:

Computational biology applies the power of computers to large, complex mathematical problems arising in molecular biology, especially in DNA sequencing. Setubal and Meidanis provide an overview of algorithms for computational biology as well as basic information regarding major problems. Readers interested in a particular problem will find background material on molecular biology, definition of key terms, descriptions of models, and a full sample of algorithmic results. Key theoretical computer science concepts are emphasized, such as the improvement in asymptotic running time with better algorithms, the contrast between heuristics and an algorithm with guarantees, and the difficulty posed by NP-complete problems.

Synopsis:

The exploding number and complexity of problems faced by DNA researchers and scientists have driven the application of mathematical and computer science in molecular biology. This textbook provides an introduction to computational molecular biology, a sampling of representative problems, and examples of efficient algorithms that have been proposed to solve them. Illuminating each problem is a discussion of its biological background, definition of key terms, a complete description of the mathematical or computer science model used, and a sample of algorithmic results. As a result, this book serves as a valuable resource for computer scientists and mathematicians seeking to improve their understanding of molecular biology and its computational aspects, for students taking a course on the subject, and for researchers looking for a broad overview of this exciting new field, where many algorithmic problems still lay unexplored.

Description:

Includes bibliographical references (p. 277-287) and index.

Table of Contents

Preface 1. Basic Concepts of Molecular Biology 2. Strings, Graphs, and Algorithms 3. Sequence Comparison and Database Search 4. Fragment Assembly of DNA 5. Physical Mapping of DNA 6. Phylogenetic Trees 7. Genome Rearrangements 8. Molecular Structure Prediction 9. Epilogue: Computing with DNA Answers to Selected Exercises / References / Index

Product Details

ISBN:
9780534952624
With:
Setubal, Joao Carlos
Author:
Setubal, Joao Carlos
Author:
Setabal, Joao C.
Author:
Setubal, Carlos
Author:
Setubal, Carlos (Carlos Setubal)
Author:
Meidanis, Joao
Author:
Setubal, Jooao Carlos
Publisher:
Cengage Learning
Location:
Boston :
Subject:
Biology
Subject:
Mathematics
Subject:
Applied
Subject:
Data processing
Subject:
Computer Mathematics
Subject:
Molecular biology
Subject:
Computer simulation
Subject:
Advanced Applications
Subject:
Molecular biology -- Mathematics.
Subject:
Life Sciences - Biology - Molecular Biology
Subject:
Biology-Molecular
Subject:
Mathematics-Applied
Copyright:
Series Volume:
111082
Publication Date:
January 1997
Binding:
HARDCOVER
Grade Level:
College/higher education:
Language:
English
Illustrations:
Yes
Pages:
320
Dimensions:
9.47x6.53x.62 in. 1.20 lbs.

Related Subjects

Computers and Internet » Computers Reference » Computer Simulation
Computers and Internet » Software Engineering » Algorithms
Science and Mathematics » Biology » General
Science and Mathematics » Biology » Molecular
Science and Mathematics » Mathematics » Applied

Introduction To Computational Molecular Biology (97 Edition) Used Trade Paper
0 stars - 0 reviews
$204.00 In Stock
Product details 320 pages PWS Pub. Co. - English 9780534952624 Reviews:
"Synopsis" by , Computational biology applies the power of computers to large, complex mathematical problems arising in molecular biology, especially in DNA sequencing. Setubal and Meidanis provide an overview of algorithms for computational biology as well as basic information regarding major problems. Readers interested in a particular problem will find background material on molecular biology, definition of key terms, descriptions of models, and a full sample of algorithmic results. Key theoretical computer science concepts are emphasized, such as the improvement in asymptotic running time with better algorithms, the contrast between heuristics and an algorithm with guarantees, and the difficulty posed by NP-complete problems.
"Synopsis" by , The exploding number and complexity of problems faced by DNA researchers and scientists have driven the application of mathematical and computer science in molecular biology. This textbook provides an introduction to computational molecular biology, a sampling of representative problems, and examples of efficient algorithms that have been proposed to solve them. Illuminating each problem is a discussion of its biological background, definition of key terms, a complete description of the mathematical or computer science model used, and a sample of algorithmic results. As a result, this book serves as a valuable resource for computer scientists and mathematicians seeking to improve their understanding of molecular biology and its computational aspects, for students taking a course on the subject, and for researchers looking for a broad overview of this exciting new field, where many algorithmic problems still lay unexplored.
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