The book deals with various tools and applications of bioinformatics in the fields of: o agriculture, corals, structural bioinformatics, data-mining, text-mining; o medicinal plants, antibiotics, protein structure prediction, drug design; o gene expression, micro-arrays, proteomics, molecular phylogenic location of the Indian Liver Fluke, rough sets to predict protein structural class; o 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; o fresh aquaculture and fisheries, pesticides and insecticides, databases and tools development in the relevant area. The book would be of much use to the person working in the field of agricultural biotechnology, bioinformatics, computer science and applied statistics. This can act as a book for M.
Sc, M.
Tech and Ph.
D students of and the faculty of Bioinformatics/Biotechnologists.
By:
M. Balakrishnan M. & Dam Roy
Edited by:
M Balakrishnan
Imprint: New India Publishing Agency
Dimensions:
Height: 152mm,
Width: 22mm,
Spine: 229mm
Weight: 980g
ISBN: 9789381450925
ISBN 10: 9381450927
Pages: 294
Publication Date: 15 January 2014
Audience:
Professional and scholarly
,
Undergraduate
Format: Hardback
Publisher's Status: Active
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
