Description

Book Synopsis
This book delves into various applications and tools of bioinformatics in a range of fields, including agriculture, corals, structural bioinformatics, data mining, text mining, medicinal plants, antibiotics, protein structure prediction, drug design, gene expression, micro-arrays, proteomics, molecular phylogenetics, artificial neural networks, plant systems biology, molecular modeling, homology modeling, bio-efficacy of indigenous bacillus through in-silico approach, and fresh aquaculture and fisheries. It also covers topics such as pesticides and insecticides, database and tool development in relevant areas, and would be of great utility to individuals working in the fields of agricultural biotechnology, bioinformatics, computer science, and applied statistics.

Bioinformatics in Agriculture: Tools and

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    Order before 4pm today for delivery by Wed 24 Jun 2026.

    A Paperback / softback by M. Balakrishnan, M. & Dam Roy


      View other formats and editions of Bioinformatics in Agriculture: Tools and by M. Balakrishnan, M. & Dam Roy

      Publisher: New India Publishing Agency
      Publication Date: 15/01/2014
      ISBN13: 9788119002757, 978-8119002757
      ISBN10: 811900275X
      Also in:
      Computational biology / bioinformatics Agriculture and farming

      Description

      Book Synopsis
      This book delves into various applications and tools of bioinformatics in a range of fields, including agriculture, corals, structural bioinformatics, data mining, text mining, medicinal plants, antibiotics, protein structure prediction, drug design, gene expression, micro-arrays, proteomics, molecular phylogenetics, artificial neural networks, plant systems biology, molecular modeling, homology modeling, bio-efficacy of indigenous bacillus through in-silico approach, and fresh aquaculture and fisheries. It also covers topics such as pesticides and insecticides, database and tool development in relevant areas, and would be of great utility to individuals working in the fields of agricultural biotechnology, bioinformatics, computer science, and applied statistics.

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