Bioinformatics in Agriculture: Tools and Applications
by M Balakrishnan
ISBN: 9789351305705
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Imprint : NIPA
Year : 2021
Price : Rs. 8230.00
Biblio : 294 pages,25cm
Author Profile
M. Balakrishnan: Senior Scientists, ICM Division, NAARM-ICAR, Rajendranagar, Hyderabad ? 500 030, Andhra Pradesh, India
About The Book
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.
Table of Contents
"Foreword
Preface
Contributors
1. Application of Bioinformatics in Agriculture
D. Velmurugan
2. Statistical Data Mining-Concepts, Tools and Techniques for Bioinformatics
Ravi R. Saxena, Ritu R. Saxena, Akash Solanki and M.L. Lakhera
3. Prediction of 3D – Structure of Proteins Using Artificial Neural Networks
K. Meena
4. A Genomic Approach to Study the Insect Mitochondrial Evolution by Non coding LSU and SSU rRNA
S. Gifta Lorraine, Christy Jancy Joy P., Arul Samraj D. and Priyakumari Joyce C.
5. Analysis of Microarray Gene Expression Data
M. Balakrishnan, R.C. Srivastava and M. Ramachandran
6. A Novel Sequence Encoding Method for Searching Rareness Among Consensus DNA Sequences
K. Meena, K. Menaka, T.V. Sundar and K. R. Subramanian
7. Statistical Methods for Genomic Sequence and Microarray Analysis
A.K. Roy and S.R. Martha
8. Significance of Insect Genomics in Agro Ecosystems
R.W. Alexander Jesudasan
9. Bioinformatics Tools in Fish Molecular Modeling
Grinson George, K.Sarma, S. Dam Roy and Mukunda Goswamy
10. Structural Bioinformatics Goals and Challenges
Mayank Pokhriyal and M. Balakrishnan
11. Database for Animal Genetic Resources of A&N Islands
M. 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 Antiniotics
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. Balakrishnan
23. 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"