Bioinformatics in Agriculture

The book provides an overview of various bioinformatics tools and applications across 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, and databases and tools development in the relevant area. This book would be particularly valuable for individuals working in the fields of agricultural biotechnology, bioinformatics, computer science, and applied statistics.