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Research Program Genetic Gains (RPGG) Review Meeting 2021: Computational Genomics By Mr Prasad Bajaj and Team

  1. Computational Genomics Team Members • Aamir W. Khan • Vinod Kumar Valluri Prasad Bajaj Manager – Computational Biology
  2. Computational Genomics : From Genome to Function Wisdom Knowledge Information Data • Works under the umbrella of Sequencing and Informatics Unit (SISU) and CEGSB • Analysis of genomics data in collaboration with different scientists and researchers in RP- Genetic Gains • Provide computational and genomics data analysis support for day to day activities • Ensuring smooth functioning and maintenance of computational infrastructure Applied Context Meaning Raw
  3. Genotypingandsequencingplatforms WGRS GBS RNA-Seq Genome Assembly Epigenomics Microarrays High Performance Computational Genome Analysis facility  600 cores  ~ 830 TB storage  7.5 TB RAM What we do : Omics Data Analysis
  4. Genome analysis • Genome assembly • Variation/SNP discovery • Functional annotations • Population genomics • Haplotype identification • QTL-Seq Chickpea 3000 Genome Sequencing Initiative
  5. RNA-Seq/Transcriptome Studies • Expression atlas/profiles • De novo transcript reconstruction • Gene annotations • Pathway mapping • Spatiotemporal expression • DEGs
  6. Multiomics studies • Proteome analysis • Non-coding RNA • Bisulphite sequencing • Degradome sequencing • Transcriptome & proteome correlation
  7. Data Resources A brief summary of research data made available in public domain like NCBI “Open access to research information related to agriculture in the drylands is critical as it has the power to promote greater distribution of knowledge and enhances potential for innovation with greater influence on science”
  8. • Friendly interface • Detailed results • Advance visualization Data Resources • Prevent data duplication • For scientific community’s inspection • Cross verification
  9. Collaborators
  10. Challenges • Lack of funding and support • No funds from CRP-GLDC and similar other initiatives though we provide core services • Resources are challenged • Lack of financial support to maintain the infrastructure to carryout analysis • Employee turnover • Employees and team members leaving because for better raise and growth opportunities outside at other organisations
  11. Thank You
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