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By: Venkatarajan Mathura and Pandjassarame Kangueane
190 pages, 23 illustrations, 3 in colour
Bioinformatics is an evolving field that is gaining popularity due to genomics, proteomics and other high-throughput biological methods. The function of bioinformatic scientists includes biological data storage, retrieval and in silico analysis of the results from large-scale experiments. This requires a grasp of knowledge mining algorithms, a thorough understanding of biological knowledge base, and the logical relationship of entities that describe a process or the system. Bioinformatics researchers are required to be trained in multidisciplinary fields of biology, mathematics and computer science.
Currently the requirements are satisfied by ad hoc researchers who have specific skills in biology or mathematics/computer science. But the learning curve is steep and the time required to communicate using domain specific terms is becoming a major bottle neck in scientific productivity. This workbook provides hands-on experience which has been lacking for qualified bioinformatics researchers.
From the reviews: "This book covers a number of topics within the field of bioinformatics and, like similar works, includes chapters on the fundamentals of programming, algorithm development ! . It is evident that the authors are trying to appeal to a wide audience, from beginners to those with extensive experience. ! it is recommended for scientists who are looking for a monograph offering a hands-on approach to learning bioinformatics. Summing Up: Recommended. Graduate students, researchers, and faculty." (M. C. Pavao, Choice, Vol. 46 (10), June, 2009)
Foreword.- Introduction to Living Systems and Its Components.- Fundamentals of Programming Concepts.- Introduction to Statistics and Probability.- Biological Databases.- Sequence Analysis.- Protein Structure Prediction and Modelling.- Macromolecular Visualization.- Comparative Genomics.- DNA Chips/Array.- Proteomics.- Drug Discovery.- Computational Immunology.- Bioinformatics and Industrial Application.- Bioinformatics Web Tools.- Case Study/Comprehensive Biological Project.- List of Useful Resources.
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