Handbook Of Computational Molecular Biology

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

The assimilation of computational methods into the life sciences has played an important role in advancing biological research. From sequencing genomes to discovering motifs in large collections of functionally equivalent sequences of nucleic acids and proteins, the value of powerful computational tools has become abundantly clear. The Compact Hand

Bioinformatics is growing by leaps and bounds; theories/algorithms/statistical techniques are constantly evolving. Nevertheless, a core body of algorithmic ideas have emerged and researchers are beginning to adopt a "problem solving" approach to bioinformatics, wherein they use solutions to well-abstracted problems as building blocks to solve larger scope problems. Problem Solving Handbook for Computational Biology and Bioinformatics is an edited volume contributed by world renowned leaders in this field. This comprehensive handbook with problem solving emphasis, covers all relevant areas of computational biology and bioinformatics. Web resources and related themes are highlighted at every opportunity in this central easy-to-read reference. Designed for advanced-level students, researchers and professors in computer science and bioengineering as a reference or secondary text, this handbook is also suitable for professionals working in this industry.

The branch of biology that is concerned with the study of the molecular basis of biological activities within and between the cells is known as molecular biology. It encompasses molecular synthesis, mechanisms, modifications and interactions. It is closely related to the fields of biochemistry, genetics, computational biology and bioinformatics. Molecular genetics is one of the most prominent sub-fields of this area. Molecular cloning, gel electrophoresis, polymerase chain reaction, macromolecule blotting and probing, allele-specific oligonucleotide, microarrays, etc. are some of the techniques used within this discipline. This book brings forth some of the most innovative concepts and elucidates the unexplored aspects of molecular biology. The various studies that are constantly contributing towards advancing technologies and evolution of this field are examined in detail. Those in search of information to further their knowledge will be greatly assisted by this book.

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 bioinformatics, a subject reliant on both theoretical and practical contributions from statistics, mathematics, computer science and biology. Provides the background mathematics required to understand why certain algorithms work Guides the reader through probability theory, entropy and combinatorial optimization In-depth coverage of molecular biology and protein structure prediction Includes several less familiar algorithms such as DNA segmentation, quartet puzzling and DNA strand separation prediction Includes class tested exercises useful for self-study Source code of programs available on a Web site Primarily aimed at advanced undergraduate and graduate students from bioniformatics, computer science, statistics, mathematics and the biological sciences, this text will also interest researchers from these fields.

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 related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.

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.

Since the publication of the best-selling Handbook of Molecular and Cellular Methods in Biology and Medicine, the field of biology has experienced several milestones. Genome sequencing of higher eukaryotes has progressed at an unprecedented speed. Starting with baker's yeast (Saccharomyces cerevisiae), organisms sequenced now include human (Homo sapiens), model crucifer (Arabidopsis thaliana), and rice (Oryza sativa). The invention of DNA microarray technology and advances in bioinformatics have generated vast amounts of genomic data. Reflecting these revolutionary advances Handbook of Molecular and Cellular Methods in Biology and Medicine, Second Edition documents conventional and modern approaches to tackle scientific research in the post-genomics era. Maintaining the step-by-step format that popularized the first edition, each chapter provides the principles behind the featured method, a detailed description of each protocol, applications of the protocol to different systems, and references for further study. Handbook of Molecular and Cellular Methods in Biology and Medicine, Second Edition now includes: New protocols in all chapters, including alternative protocols In vitro transcription methods Analysis of DNA sequences New bioseparation techniques New chapters covering: mRNA differential display Inhibition of gene expression In situ hybridization (Localization of gene expression) Combinatorial techniques Computational data mining methods applied to combinatorial chemistry libraries With this book at hand, researchers, teachers, and students can understand and utilize the major techniques and methods currently employed in cellular and molecular biology.