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कंसोर्टियम रिसर्च प्लेटफॉर्म - जीनोमिक्स

Consortium Research Platform on Genomics

Indian Council of Agricultural Research

(Ministry of Agriculture and Farmers Welfare)

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Computational
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ICAR-Indian Agricultural Statistics Research Institute (IASRI), New Delhi

Bioinformatics aims to bring the biologists, statisticians and computer scientists together from the point of view of system biology approach to understand the biological phenomenon through innovative applications of statistics and computer science. It entails the creation of advanced 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) on biological data, which gives the opportunity to quickly and efficiently study heap of genomic information, chemical structure, and functional, structural and evolutionary relatedness of molecular, cell, species and organism. Bioinformatics has already started showing its profound impact on agricultural research and development globally.


Objective

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  1. To assemble high throughout NGS data for agriculturally important species.
  2. To predict genes and their function from assembled genomes of agriculturally important species.
  3. To analyse high throughout expression data related to important agricultural traits.
  4. To decipher knowledge of biological processes through system biology approach.
  5. To provide capacity computational solution and support for application of biological data
  6. To provide capacity building program in the various area of computational biology and bioinformatics.

Research targets/activities

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  1. To organize training programs for the analysis of genomic, transcriptome and other Omics data
  2. Design and development of web based databases for specifics properties and molecular markers for agriculturally important species.
  3. Bioinformatics analysis for species and traits of interest.

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Last Updated: 09 July 2021
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