Introduction to Computational Molecular Biology

Introduction to Computational Molecular Biology
Author: João Carlos Setubal
Publisher: Pws Publishing Company
Total Pages: 296
Release: 1997
Genre: Computers
ISBN: 9780534952624

Basic concepts of molecular biology. Strings, graphs, and algorithms. Sequence comparasion and database search. Fragment assembly of DNA. Physical mapping of DNA. Phylogenetic trees. Genome rearrangements. Molecular structure prediction. epilogue: computing with DNA. Answers to selected exercises. References. index.

Introduction to Computational Biology

Introduction to Computational Biology
Author: Michael S. Waterman
Publisher: CRC Press
Total Pages: 456
Release: 2018-05-02
Genre: Mathematics
ISBN: 1351437089

Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of information-packed databases. Inspired by a pressing need to analyze that data, Introduction to Computational Biology explores a new area of expertise that emerged from this fertile field- the combination of biological and information sciences. This introduction describes the mathematical structure of biological data, especially from sequences and chromosomes. After a brief survey of molecular biology, it studies restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps. It examines problems associated with reading DNA sequences and comparing sequences to finding common patterns. The author then considers that statistics of pattern counts in sequences, RNA secondary structure, and the inference of evolutionary history of related sequences. 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 biology.

Handbook of Computational Molecular Biology

Handbook of Computational Molecular Biology
Author: Srinivas Aluru
Publisher: CRC Press
Total Pages: 1108
Release: 2005-12-21
Genre: Computers
ISBN: 1420036270

The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology of

Introduction to Computational Biology

Introduction to Computational Biology
Author: Bernhard Haubold
Publisher: Springer Science & Business Media
Total Pages: 329
Release: 2006-08-09
Genre: Science
ISBN: 3764373873

Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems.

Computational Molecular Biology

Computational Molecular Biology
Author: Peter Clote
Publisher: John Wiley & Sons
Total Pages: 312
Release: 2000-10-03
Genre: Computers
ISBN:

Molecular biology. Math primer. Sequence alignment. All about eve. Hidden markov models. Structure prediction. A mathematical background. Resources.

An Introduction to Bioinformatics Algorithms

An Introduction to Bioinformatics Algorithms
Author: Neil C. Jones
Publisher: MIT Press
Total Pages: 460
Release: 2004-08-06
Genre: Computers
ISBN: 9780262101066

An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics. This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems. The book introduces biological and algorithmic ideas together, linking issues in computer science to biology and thus capturing the interest of students in both subjects. It demonstrates that relatively few design techniques can be used to solve a large number of practical problems in biology, and presents this material intuitively. An Introduction to Bioinformatics Algorithms is one of the first books on bioinformatics that can be used by students at an undergraduate level. It includes a dual table of contents, organized by algorithmic idea and biological idea; discussions of biologically relevant problems, including a detailed problem formulation and one or more solutions for each; and brief biographical sketches of leading figures in the field. These interesting vignettes offer students a glimpse of the inspirations and motivations for real work in bioinformatics, making the concepts presented in the text more concrete and the techniques more approachable.PowerPoint presentations, practical bioinformatics problems, sample code, diagrams, demonstrations, and other materials can be found at the Author's website.

Computational Molecular Evolution

Computational Molecular Evolution
Author: Ziheng Yang
Publisher: Oxford University Press, USA
Total Pages: 374
Release: 2006-10-05
Genre: Medical
ISBN: 0198566999

This book describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to furthering our understanding of the evolution of genes and genomes.

Pattern Recognition in Computational Molecular Biology

Pattern Recognition in Computational Molecular Biology
Author: Mourad Elloumi
Publisher: John Wiley & Sons
Total Pages: 655
Release: 2015-11-30
Genre: Technology & Engineering
ISBN: 1119078857

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book 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.

An Introduction to Computational Biochemistry

An Introduction to Computational Biochemistry
Author: C. Stan Tsai
Publisher: John Wiley & Sons
Total Pages: 381
Release: 2003-03-31
Genre: Science
ISBN: 0471461091

This comprehensive text offers a solid introduction to the biochemical principles and skills required for any researcher applying computational tools to practical problems in biochemistry. Each chapter includes an introduction to the topic, a review of the biological concepts involved, a discussion of the programming and applications used, key references, and problem sets and answers. Providing detailed coverage of biochemical structures, enzyme reactions, metabolic simulation, genomic and proteomic analyses, and molecular modeling, this is the perfect resource for students and researchers in biochemistry, bioinformatics, bioengineering and computational science.