BIFX 553 Applied Data Science for Bioinformatics

Prerequisites: A minimum grade of "B-" in BIFX 552 or permission of the instructor.

Students will continue to develop the data science skills learned in BIFX 552 while gaining a deeper understanding of statistics and machine learning by performing real-world analyses of biological
data. A deeper understanding will be gained of what can go wrong in data analyses, and principles of reproducible research will be emphasized. Students will use the highperformance-
computing cluster using R as well as important application programs for processing sequencing data. A large portion of the class will be devoted to processing high-throughput sequencing data (RNA-Seq, whole genome sequencing, whole exome sequencing, variant analysis, metagenomics). Additional possible topics are genomewide association studies (GWAS), phylogenetics, and the analysis of protein motifs and protein domains.

Credits

3.0

Offered

Spring Semester