This class is a an introduction to methods and tools for biomedical data analysis. The course will introduce basic and intermediate bioinformatics and statistical analyses for high-throughput biology, including sequencing data preprocessing and quality control, genome-wide association studies, gene expression and proteomics, epigenetics, metagenomics, and imaging data analysis. We will describe relevant methods and procedures for each context, and practice and apply code in each case. Examples will come from a variety of applications from molecular biology and biomedical research. Students be expected to use R and GitHub throughout this course. The course is open to both Master's and Ph.D. students. After you read the syllabus, please contact Dr. Johson (w.evan.johnson@rutgers.edu) if you have any questions regarding eligibility or pre-requisites for taking this course.
The Spring 2024 syllabus is available here.
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