Modern technologies make it possible to measure the activity of all genes in a cell simultaneously (https://en.wikipedia.org/wiki/Transcriptomics_technologies) as they respond to stimuli, such as cancer cells responding to chemotherapy and plant cells responding to drought. A single experiment in humans typically produces 1 Gb of data, so data processing and analysis require the use of computers. Students will learn how to assemble a bioinformatics pipeline using the bash and R languages and apply this pipeline to a high-throughput, transcriptomic dataset. Students will be guided all the way from raw transcriptomic data to processed gene expression data and functional annotation. Then, students will team up and propose a research question raised by the dataset that they can use their new computational skills to address. The final product will be a team-based poster and presentation of findings. In the past, there have been opportunities to present in the annual BCB Symposium (https://www.bcb.iastate.edu/5th-annual-bcb-symposium). What is bioinformatics? Learn more: https://en.wikipedia.org/wiki/Bioinformatics.
To register, contact Dr. Natalie Clark
Topics: Bioinformatics and Computational Biology; Biology; Data Science; Genetics