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Bioinformatics in Agriculture and Allied Sectors: Methods and Applications
Bioinformatics in Agriculture and Allied Sectors: Methods and Applications
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Author : P.N.Jagadev & Sashikala Beura
Pages : 174
Year of Publication : 2019
Language : English
Binding : Hardback
The book provides a comprehensive overview of the various tools and applications of bioinformatics in several fields, including agriculture, corals, structural bioinformatics, data-mining, text-mining, medicinal plants, antibiotics, protein structure prediction, drug design, gene expression, micro-arrays, proteomics, molecular phylogenic location of the Indian Liver Fluke, rough sets to predict protein structural class, artificial neural networks for prediction of amino acids levels, plant systems biology, molecular modeling, homology modeling, bio-efficacy of indigenous bacillus through in-silico approach, fresh aquaculture and fisheries, pesticides and insecticides, databases and tools development in the relevant area. The book would be of great value to individuals working in the fields of agricultural biotechnology, bioinformatics, computer science, and applied statistics.
Pages : 174
Year of Publication : 2019
Language : English
Binding : Hardback
The book provides a comprehensive overview of the various tools and applications of bioinformatics in several fields, including agriculture, corals, structural bioinformatics, data-mining, text-mining, medicinal plants, antibiotics, protein structure prediction, drug design, gene expression, micro-arrays, proteomics, molecular phylogenic location of the Indian Liver Fluke, rough sets to predict protein structural class, artificial neural networks for prediction of amino acids levels, plant systems biology, molecular modeling, homology modeling, bio-efficacy of indigenous bacillus through in-silico approach, fresh aquaculture and fisheries, pesticides and insecticides, databases and tools development in the relevant area. The book would be of great value to individuals working in the fields of agricultural biotechnology, bioinformatics, computer science, and applied statistics.
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