Translate biological complexity into actionable global solutions.

In the current era of big data, high-throughput multi-omics integration has moved from a specialized research tool to the absolute frontier of life sciences. This intensive, 5-day virtual hands-on training workshop is engineered to empower researchers, faculty, and industry professionals with the advanced computational competencies required to master end-to-end processing of complex datasets. By bridging the genotype-to-phenotype gap, participants will gain the skills necessary to drive breakthroughs across three critical pillars of modern bio-science:

• Agriculture & Climate Resilience: Accelerating the development of next-generation crop ideotypes. Mastery of genomic and transcriptomic workflows is essential for precision breeding, characterizing pest-disease-abiotic resistance mechanisms, nutritional enhancement, and engineering climate-resilient crops to safeguard global food security.
• Veterinary Science & One Health: Unravelling complex host-pathogen interactions, zoonotic disease transmission vectors, and livestock genetic enhancement. Multi-omics proficiency allows researchers to decode animal immune responses at single-cell resolution, leading to better diagnostic tools, superior vaccine technologies, and sustainable animal production strategies.
• Modern Precision Medicine: Driving the shift toward personalized healthcare and targeted therapeutics. Understanding single-cell heterogeneity, spatial transcriptomics, and mass spectrometry data is foundational for discovering novel biomarkers, mapping tumor microenvironments, identifying rare cellular clones, and accelerating the development of fully human monoclonal antibodies.

Why This Workshop Is Vital Right Now

Raw multi-omics data is expanding exponentially, but the computational capacity to analyse it remains a critical bottleneck. This workshop directly bridges that gap by moving beyond isolated data silos.

By mastering integrated pipelines, you will transform raw sequencing, proteomic, and spatial architecture data into predictive biological models, positioning your research at the absolute forefront of international science.

Target Audience: Ph.D. Scholars, Postdocs, Industry Scientists, and Clinicians working with high-throughput multi-omics data.

Requirements: Basic familiarity with R/Python and Linux command-line interfaces is recommended. Cloud computing environments will be provided.

Deliverables:

• Access to fully reproducible code repositories (e.g. R scripts)
• Digital Certificate of Completion (subject to attendance and daily lab completion)
• Access to recorded lecture archives

Maximum participants: 25

Registration fee: ₹1000/- + GII Life Membership Fee*

*Selected participants can attend the workshop only after becoming a life member of GII (according to the member category; discount rates extended up to Dec., 2026) and paying the registration fee of Rs. 1,000. Membership and payment details are available on the Join Us page.

Enquiries: GII Workshop 1.0 Secretariat
nmboopathi@tnau.ac.in | 9842509611