Data Analysis for Genomics

Genome-Scale Data Analysis in R

Modern genomics generates vast, complex datasets—managing them requires both domain expertise and solid computational tools. This course teaches you to wrangle, normalize, and interpret genome-scale data using Bioconductor, the open-source ecosystem built for biological data.

You'll bridge the gap between raw genomic output and research-ready analysis, working with multiple experimental protocols in R. The skills transfer immediately: Bioconductor's structure and annotation methods apply whether you're analyzing next-generation sequencing, microarray, or other genomic platforms.

Ideal for researchers, bioinformaticians, or data scientists entering genomics work.