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Keywords

Computational Biology, Bioinformatics, Genome Analysis, Sequence Alignment, Comparative Genomics, Protein Structure Prediction, Phylogenetic Analysis, Next Generation Sequencing, Biological Databases, Computational Genomics, Molecular Modeling, Bioprogramming, Protein Interaction Databases, Genome Browsers, Structural Bioinformatics, Biological Data Analysis, Systems Biology, Homology Modeling, Molecular Evolution, Bioinformatics Tools.

Computational Biology

Language: English | Imprint: NIPA

Hardback

ISBN: 9789367559925
Pages: 320 | Length: 152 mm | Breadth: 18 mm | Height: 229 mm | Weight: 850 GSM
Print Book Price: 210.00 USD (Get 10% OFF)
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EBook

EISBN: 9789367555330
Ebook Individual Price: 0.00 USD
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eChapter

eChapter details: Available in the Content section below.
<p style="text-align:justify">The book provides a comprehensive introduction to the concepts, tools, techniques, and applications of computational approaches in modern biological research. The book explains the integration of biology, computer science, mathematics, and statistics for analyzing complex biological data generated through genomics, proteomics, and molecular biology studies.</p> <p style="text-align:justify">The text systematically covers genome analysis, sequence alignment, biological databases, genome browsers, web-based bioinformatics resources, next-generation sequencing technologies, and programming languages used in bioinformatics. Detailed discussions on protein structure prediction, fold recognition, homology modeling, phylogenetic analysis, and molecular visualization tools help readers understand computational methods for studying biological systems and evolutionary relationships.</p> <p style="text-align:justify">Special emphasis is given to practical bioinformatics tools, data repositories, protein interaction databases, comparative genomics, and bioprogramming approaches widely used in biotechnology, medicine, and agriculture. Designed for students, researchers, and professionals in bioinformatics, biotechnology, computational biology, and life sciences, this book serves as a valuable resource for understanding biological data analysis and computational applications in modern biological sciences.</p>
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