Training on
“Application of Computational Biology for studying Abiotic Stresses in Insects”
October 11th - 20th 2011
Objectives of the training
° To provide insights to scientists in analyzing & organizing data related to biological complexity
° To provide understanding of bioinformatics tools and software employed for the data analysis
° To strengthen strategies for integrating bioinformatics tools for data mining
° To provide understanding of bioinformatics tools and software employed for the data analysis
° To strengthen strategies for integrating bioinformatics tools for data mining
Formally launched on 18th Sept., 2010 by Hon’ble Director General (ICAR) and Secretary (DARE) Dr. S. Ayyappan, the Establishment of “National Agricultural Bioinformatics Grid (NABG)” in ICAR is a National project funded by NAIP. The project entails the creation and advancement of databases, algorithms, computational and statistical techniques and theory to solve formal and practical problems arising from the management and analysis of biological data. The field of Bioinformatics focuses on developing and applying computationally intensive techniques (e.g., pattern recognition, data mining, machine learning algorithms and visualization) which gives the opportunity to quickly and efficiently study the heap of genomic information, chemical structure and other biological data. Bioinformatics has already started showing its profound impact on agricultural research and development.
NABG will help Indian scientists to solve problems and mysteries in uncovering wealth of hidden biological information in different subject domains.
Objectives of NABG:· Development of agricultural bioinformatics grid for the country.
· Creation of local databases and Bioinformatics Data Warehouse (BinDW) for genomic resources across species.
· Human resource development in agricultural bioinformatics.
· Create and promote inter-disciplinary research groups with focus on agricultural bioinformatics.
Themes of the Subject training on “Application of Computational Biology for studying Abiotic Stresses in Insects”
1. Genome analysis and Gene mapping.
2. Phylogenic studies.
3. Development of Biological databases.
4. Computational methods for Pathways and Systems Biology.
5. RNA secondary structure prediction.
6. Computational Biology methods and Protein structure prediction.
7. Docking studies.
8. DNA bar coding and Molecular markers of insects.
9. Insecticide resistance and management.
Brochure
