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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
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.
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.
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.
This volume contains papers demonstrating the variety and richness of computational problems motivated by molecular biology. The application areas within biology that give rise to the problems studied in these papers include solid molecular modeling, sequence comparison, phylogeny, evolution, mapping, DNA chips, protein folding and 2D gel technology. The mathematical techniques used are algorithmics, combinatorics, optimization, probability, graph theory, complexity and applied mathematics. This is the fourth volume in the Discrete Applied Mathematics series on computational molecular biology, which is devoted to combinatorial and algorithmic techniques in computational molecular biology. This series publishes novel research results on the mathematical and algorithmic foundations of the inherently discrete aspects of computational biology. Key features: . protein folding . phylogenetic inference . 2-dimensional gel analysis . graphical models for sequencing by hybridisation . dynamic visualization of molecular surfaces . problems and algorithms in sequence alignment This book is a reprint of Discrete Applied Mathematics Volume 127, Number 1.
Molecular biology. Math primer. Sequence alignment. All about eve. Hidden markov models. Structure prediction. A mathematical background. Resources.
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.
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 that presents the biological and computational ideas in a relatively simple manner. This makes the material accessible to computer scientists without biological training, as well as to biologists with limited background in computer science. 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 biology. The new MIT Press Computational Molecular Biology series provides a unique venue for the rapid publication of monographs, textbooks, edited collections, reference works, and lecture notes of the highest quality.