3.0

credits

Average Course Rating

Introduces statistical genomics with an emphasis on the next generation sequencing, including the single sequencing technology, microbiome sequencing, and bulk RNA sequencing. Covers the key capabilities of the Bioconductor project (a widely used open source software project for the analysis of high-throughput experiments in genomics and molecular biology and rooted in the open source statistical computing environment R). Introduces statistical concepts and tools necessary to interpret and critically evaluate the bioinformatics and computational biology literature. Includes an overview of preprocessing and normalization, batch effects, statistical inference, multiple comparisons. Assumes some familiarity with the R statistical language (a student without any experience in this language can still take the class but will need to set aside additional time to learn R).