Environmental Bioinformatics

3-0-9 units · Graduate

An intensive introduction to computational skills and a survey of modern computational theory and approaches for the manipulation and analysis of genomic data in environmental and non-model systems. Designed to synthesize theory (both biological and computational) and programming to equip students with the ability to understand and carry out hypothesis testing with genomic data. Topics include: introduction to programming and biological algorithms; genomic and transcriptomic data; environmental metagenomics; intraspecific diversity; and best practices in data science and reproducibility.