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MLSC 302

Bioinformatics for Molecular Life Sciences

1.5 credits · Undergraduate

Introductory bioinformatics for life sciences. Evaluation of key bioinformatics tools for the analysis of gene expression and genomic sequencing datasets. Execution of basic scripts in Python and R to clean, visualize and interpret biological data. Lectures highlight the application of bioinformatics to improve human health and advance biomedical research.

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