I teach a graduate level plant genomics course AGRO5431: Applied Plant Genomics and Bioinformatics. This course provides students with skills necessary to analyze, interpret, and visualize large plant genomic datasets. Students who take this course learn basic computer programming, applying large-scale genomics to answer basic and applied biological questions, understanding the limitations of each application, and presenting concise visual findings from large-scale datasets. This course involves lectures and computer lab activities in which students utilize publicly available bioinformatics datasets and resources and the Minnesota Supercomputing Institute (MSI) to analyze genomic data.
The research in the Hirsch lab in centered on translational genomics in maize. Our research involves the integration of big data including high throughput genome and transcriptome sequencing, high throughput phenotyping, and extensive environmental measurements with the end goal of improving corn as a crop plant.