Bioinformatics in Agriculture and Allied Sectors: Methods and Applications

P.N.Jagadev & Sashikala Beura

ISBN 10: 8119002903 / ISBN 13: 9788119002900

Editore: New India Publishing Agency Jul 2019, 2019

Riguardo questo articolo

Neuware - Bioinformatics, a recently emerged frontier discipline, is the convergence of analytical and computational tools with the disciplines of biological sciences. Now-a-days, it has a great scope for development of entrepreneurship. The integration of three biological processes namely, DNA sequence determining protein sequence, protein sequence determining protein structure and protein structure determining protein function, makes us to achieve the long term goal of the complete understanding of the biology of organisms through the development of bioinformatics tools and software. Government of India is also giving much thrust for the development of this area through the Department of Biotechnology.The present book 'Bioinformatics in Agriculture and Allied Sectors' contains 26 chapters including some fundamental chapters of soil informatics, proteomics, sequence alignment, homology modeling, drug designing and bioinformatics application in aquaculture and avian sectors. Efforts were given to make this book in a simplified way for well understanding and to make very useful for the students, scientists and professionals engaged in research and development of bioinformatics education. Codice articolo 9788119002900

Dati bibliografici

Titolo: Bioinformatics in Agriculture and Allied ...

Casa editrice: New India Publishing Agency Jul 2019

Data di pubblicazione: 2019

Legatura: Taschenbuch

Condizione: Neu

Descrizione articolo

Riassunto:

This book focuses on a variety of bioinformatics tools and applications across several fields, including agriculture, corals, structural bioinformatics, data and text mining, medicinal plants, antibiotics, protein structure prediction, drug design, gene expression, microarrays, proteomics, molecular phylogenetics, rough sets for protein structural class prediction, artificial neural networks for predicting amino acid levels, plant systems biology, molecular modeling, homology modeling, bioefficacy of indigenous bacillus through in silico approach, and fresh aquaculture and fisheries. This book would be of value to individuals working in agricultural biotechnology, bioinformatics, computer science, and applied statistics. Rephrased with a formal tone.