Bioinformatics is now an essential part of coping with the vast amounts of data produced in today's plant biology. This session will concentrate on computational packages, pipelines, and databases specific to plant research. Scientists will emphasize genome annotation platforms, phylogenetic tools, and functional transcriptomics and proteomics databases. Case studies will demonstrate uses in finding candidate genes, simulating metabolic networks, and protein structure prediction. The use of AI and machine learning in plant trait prediction and digital agriculture will be addressed. The session will highlight open-source tools and collaborative environments that drive discovery. Participants will receive hands-on guidance on how bioinformatics is connecting experimental data with biological knowledge and is a key driver of innovation in plant science.