Integrative Multi-Omics Analysis for Resistance Mode-of-Action Discovery

January 12, 2026

Improved disease, weed, and pest control are critical components of global food production. Thus, agriculture companies have invested significant R&D resources for new approaches to visualize the complex, multi-pathway gene responses involved in resistance, susceptibility, and tolerance. In recent years, rapid advancements in biotechnology have enabled large-scale multi-omics studies with the promise of accelerating identification of new bioactive agents and developing new traits for seed crops. These efforts benefit from sustained collaboration through long-term R&D projects across multiple scientific disciplines. Enterprise systems are instrumental in supporting discovery and development by automating high-throughput data processing, analysis, interpretation, and fostering efficient collaboration. Genedata Platform supports crop resistance initiatives that leverage next-generation sequencing (NGS) and mass spectrometry (MS) data analysis with Genedata Selector^® and Genedata Expressionist^® software solutions. Equipped with data analytics, Genedata enables multi-omics analysis for discovery of desired phenotypes.