Graduate Courses
Fall Semester
MOLB 7950: Informatics and Statistics for Molecular Biology
A hands-on tutorial of skills and theory needed to process, analyze, and visualize output from large biological data sets. We emphasize command-line tools, Python programming, and the R statistical computing environment.
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Spring Semester
MOLB 7900: Practical Computational Biology for Biologists — Python
A computational biology class aimed at biology PhD students. Topics covered include basic practices for coding in R, analysis of standard high-throughput genomic data to study the regulation of gene expression, introduction to modeling gene expression,
data visualization, and how to communicate computational analysis/results.
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MOLB 7910: Practical Computational Biology for Biologists — R/R Studio
A computational biology class aimed at biology PhD students. Topics covered include basic practices for coding in R, analysis of standard high-throughput genomic data to study the regulation of gene expression, introduction to modeling gene expression,
data visualization, and how to communicate computational analysis/results.
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