Agricultural and Plant Bioinformatics

Computational analysis of plant genomes, transcriptomes, and metabolomes to support crop improvement, stress tolerance, and the study of phytonutrients and bioactive compounds

Agricultural and Plant Bioinformatics

Overview

Agricultural and plant bioinformatics applies computational methods to understand plant biology at the molecular level, supporting efforts to develop more productive, resilient crops and to discover plant-derived bioactive compounds.

Key Topics

  • Crop genome assembly, annotation, and pan-genomics
  • Stress response transcriptomics (drought, salinity, heat)
  • Phytonutrient and secondary metabolite profiling
  • CRISPR-Cas genome editing target design
  • Quantitative trait loci (QTL) mapping
  • Engineering cyanobacteria for plant bioactive compound production

Applications

  • Drought and disease-resistant crop varieties
  • Enhanced nutritional content in food crops
  • Cassava starch biosynthesis optimization
  • Antimicrobial peptide discovery in rice