Development of omics technologies has created enormous datasets that necessitate the use of sophisticated computational algorithms for useful insights. This session will emphasize the application of bioinformatics and computational biology in plant sciences through genome annotation, transcriptome profiling, proteomic mapping, and metabolomic integration. Specialists will address algorithms and pipelines for sequence alignment, phylogenetic analysis, and structural predictions. Case studies will showcase uses of computational tools in the detection of stress-responsive genes, the prediction of metabolic pathways, and molecular breeding. Machine learning and AI-based strategies for plant phenotyping and prediction of traits will also be examined. Open-source databases, data sharing, and collaborative platforms that enable plant research worldwide will be highlighted in discussions. Participants will learn hands-on about how computational biology connects experiments to predictive models, turning raw data into actionable biological knowledge that drives innovation in plant science and agriculture.
Welcome to Plant Biology Conference 2026, where global researchers, academicians, and ecologists unite to share advancements in plant genetics, physiology, biotechnology, ecology, and sustainable agriculture and conservation practices.
