Bioinformatics and computational plant biology apply advanced computational tools, data science, and artificial intelligence to analyze complex biological datasets generated from plant genomics, transcriptomics, proteomics, and metabolomics. These approaches accelerate scientific discoveries and improve our understanding of plant biology at the molecular level.
Advances in computational modeling, genome analysis, systems biology, and data integration are enabling researchers to identify important genetic traits, predict plant responses, and develop improved crop varieties with greater accuracy and efficiency.
This session will focus on recent developments in bioinformatics, computational genomics, systems biology, biological data analysis, predictive modeling, and digital technologies supporting plant science research and agricultural innovation.