Introduction to Computational Molecular Biology

Joao Meidanis, Joao Carlos Setubal

ISBN 10: 0534952623 / ISBN 13: 9780534952624

Published by Cengage Learning, Inc, 1997

About this Item

Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Seller Inventory # 1179992/202

Bibliographic Details

• Title: Introduction to Computational Molecular Biology
• Publisher: Cengage Learning, Inc
• Publication Date: 1997
• Language: English
• ISBN 10: 0534952623
• ISBN 13: 9780534952624
• Binding: Hardcover
• Condition: Sehr gut
• Seller catalogs:
  • Bücher

About this title

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.

From the Back Cover

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.