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Bioinformatics in Agriculture: Tools and Applications (Hardback, M. Balakrishnan & S. Dam Roy)

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nipa genx electronic resources & solutions is a Service Provider , Manufacturer, Professional Services, Brand Owner, Distributor, Exporter, Importer, Wholesaler, Startup based in North Delhi Delhi India.

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Service Provider , Manufacturer, Professional Services, Brand Owner, Distributor, Exporter, Importer, Wholesaler, Startup · North Delhi, Delhi, India

We at NIPA when look back at the journey that started 47 years ago, we feel humbled. Sh Shree Pal Jain, the Founder, started the firm with just one room, one table and a set of chairs; with his sheer dedication, hard work, commitment and to develop everlasting relationships, throughout these nearly five decades have developed a customer centric and value-based company.

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What are the specifications of this product?

Overview

"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. "

Product Description

"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.

"


Content


"01. Application of Bioinformatics in Agriculture D. Velmurugan 02. Statistical Data Mining-Concepts, Tools and Techniques for Bioinformatics Ravi R. Saxena, Ritu R. Saxena, Akash Solanki and M.L. Lakhera 03. Prediction of 3D Structure of Proteins Using Artificial Neural Networks K. Meena 04. A Genomic Approach to Study the Insect Mitochondrial Evolution by Noncoding LSU and SSU rRNA 41S. Gifta Lorraine, Christy Jancy Joy P., Arul Samraj D. and Priyakumari Joyce C. 05. Analysis of Microarray Gene Expression Data M. Balakrishnan, R.C. Srivastava and M. Ramachandran 06. A Novel Sequence Encoding Method for Searching Rareness Among Consensus DNA Sequences K. Meena, K. Menaka, T.V. Sundar and K. R. Subramanian 07. Statistical Methods for Genomic Sequence and Microarray Analysis A.K. Roy and S.R. Martha 08. Significance of Insect Genomics in Agro Ecosystems R.W. Alexander Jesudasan09. Bioinformatics Tools in Fish Molecular Modeling Grinson George, K.Sarma, S. Dam Roy and Mukunda Goswamy10. Structural Bioinformatics Goals and Challenges Mayank Pokhriyal and M. Balakrishnan 11. Database for Animal Genetic Resources of A N IslandsM. Balakrishnan, S. Jeyakumar, R.C. Srivastava, Mayank Pokhriyal and Soma Mondal 12. A Database for Medicinal Plants used in Treatment of Asthma K. Balaji, M. Rajadurai, G. Vidhya, A. Krithika, E. Hudson, Vidya Murali, M. Ramya, Anusha Bhaskar and V. Stanley 13. In-silico Determination of Potential Drug Target for Curing Meningococcal Disease- Bioinformatics Study On Penicillin- Binding Proteins Vijay Tripathi, Dwijendra Gupta and Navita Srivastava 14. Text Mining: Potential Applications in Bioinformatics M. Balakrishnan, R.C. Srivastava, S.K. Zamir Ahmed and Subhash Chand 15. Diversity and Antibacterial Activity of Coral Associated Actinomycetes P. Nithyanand, S. Manju and S. Karutha Pandian 16. Decision Tree and its Application in Bioinformatics Rajni Jain and Amarendra Kumar Mishra 17. Database for Algae Resources in Andaman and Nicobar Islands M. Balakrishnan 18. Bioinformatics of Natural Antibiotics S. Rajarajan, M. Yogambal, K. Sangeetha 19. PhytopathoSys v1.0 A Phytopathology Information System M. Balakrishnan, R.C. Srivastava, Michael Imanual Jesse and M. Ramachandran 20. Multiple Gene Expression Profiles of Chemically Induced Parkinson Disease: Implication in Neuroprotection Mechanism Offered by Nicotine and Caffeine Kavita Singh, M.P. Singh and M. Balakrishnan 21. Development of Databases on Freshwater Aquaculture A.K. Roy and Nibedita Jena 22. Proteomics and Bioinformatics A. Subash Chandira Bose, R. Venkateshwaran and M. Balakrishnan23. Data Mining and its Applications in Bioinformatics Soma Mondal and M. Balakrishnan 24. Molecular Phylogenic Location of the Indian Liver Fluke, Fasciola (Trematoda: Fasciolidae) Based on The Ribosomal Internal Transcribed Spacer Regions P. K. Prasad, V. Tandon, D.K. Biswal, L.M. Goswami and A. Chatterjee 25. Prediction of Amino Acid Levels in Protein Sequences Using Artificial Neural Networks K.Meena and M. Manimekalai 26. Applying New Data Mining Method of Rough Sets to Predict Protein Structural Class K. Meena and M. Durairaj 27. Plant Systems Biology G. Ramesh Kumar, CP Rajadurai and M. Ramachandran 28. Bio-efficacy of Indigenous Bacillus thuringiensis LDC-9 Against Insect Pest and its Characterization through In-silico Approach R. Shenbagarathai and A. Mahalakshmi 29. Molluscan Resources and Its Management Measures in Andaman Nicobar Islands S.N. Sethi, M. Balakrishnan, S. Chand and B.Varghese

"


Description provided by nipa genx electronic resources & solutions.

Specifications

Title Bioinformatics in Agriculture: Tools and Applications
Authors M. Balakrishnan & S. Dam Roy
Publication Type Hardback
Number of Chapters 29
ISBN 978-XXX-XXXX-XXXX
Published Year 2023
Language English
Relevant Fields Agricultural Biotechnology, Bioinformatics, Applied Statistics

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Category agriculture > agriculture and farm consultants > agro farming services
Primary application Wholesale, distribution, and international sourcing
Brand nipa
Product type Product

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Lead time On request
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Origin India
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Frequently asked by buyers

Common questions B2B buyers ask before sourcing Bioinformatics in Agriculture: Tools and Applications (Hardback, M. Balakrishnan & S. Dam Roy). Answers compiled from verified sellers' commercial terms and platform data.

Q: What specific bioinformatics applications related to agriculture does this book cover?
A: The book covers various bioinformatics applications including statistical data mining for genomic analysis, protein structure prediction, molecular phylogenetics, gene expression analysis, and the bio-efficacy of indigenous microorganisms.
Q: Who will benefit from reading this book?
A: This book caters to professionals in agricultural biotechnology, bioinformatics, computer science, and applied statistics, providing them with insights and innovative methodologies for advancing research and practical applications.
Q: What methodologies are discussed in the book for drug design and development?
A: The book discusses several methodologies, including computational approaches like molecular modeling and in-silico techniques for identifying potential drug targets in agricultural contexts.
Q: Are there any specific databases developed in this book for agricultural resources?
A: Yes, the book includes discussions on various specialized databases such as those for animal genetic resources, medicinal plants, and aquaculture, aiding in resource management and research.
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