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The book entitled "Applied Computational Biology and Statisticsin Biotechnology and Bioinformatics" is aimed to cater to thegrowing demand of academia, researchers and commercial ventures.Altogether there are forty four chapters divided into the followingbroad sections like 1.Bioinformatics, Genomics and Proteomics,2.Phylogeny 3.Drug Design and Epigenomics 4. Advanced ComputationalTools and Techniques 5.Statistical methods for computationalbiology, data mining and visualization 6. Socio Economics andEthics. This book presents the foundations of key problems incomputational molecular biology and bioinformatics. It containsbasic molecular biology concepts, tools, and techniques.
and ways to measure sequence similarity, presents simpleapplications of searching sequence databases. After introducingmethods for aligning multiple biological sequences and genomes, thetext explores applications of the phylogenetic tree, methods forcomparing phylogenetic trees, the problem of gene expression andmotif finding. Interestingly, it is attempted to introducecomputational biology without formulas that presents the biologicaland computational ideas in a relatively simple manner. It focuseson computational and statistical principles applied to genomes, andintroduces the computational statistics that are crucial forunderstanding and visualization of problems .This makes thematerial accessible to Statistician and computer scientists withoutbiological training, as well as to biologists with limitedbackground in Statistics and computer science. Furthermore onechapter has been exclusively devoted to computational biology andcomputational statistics as applied in biotechnology illustratedwith methodology, application and interpretation of results. Morethan four hundred figures, illustrations and diagrams reinforceconcepts and present key results from the primary literature thatwill be very much useful to grasp on the subject, visualize theoutput and make right interpretation of the result.
The book will be useful for all those working in Biotechnologysector in general and particularly researchers working in thelaboratories of ICAR, CSIR, SAUs and many more institutions engagedRandD activities.ISBN - 9789380235929
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Pages : 1172
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