AVS 554 - DNA Sequencing Analysis Lab

This course will take students from raw DNA sequencing data through quality assurance, through to data interpretation, statistical
analysis, and presentation of the results as a mock scientific article. A background in microbiology, microbial ecology, or genetics would be beneficial.
No programming or data analysis experience is required. Students who are performing research may bring their own sequencing data to process in
class. Students will become familiar with command-line programs and basic computer programming techniques; understand bioinformatics methods
such as quality trimming, assembling contigs, sequence alignment, using reference databases, and statistical comparisons; gain hands-on experience
in bioinformatic analysis of DNA sequences using the R platform and its packages; primarily, DADA2, phyloseq, vegan, ggplot2; and be able to apply
the knowledge gained in class to other sequence types and programs.

Prerequisites & Notes
Graduate standing

Graduate students may bring their own data, or some can be provided.

AVS 454 and AVS 554 can not both be taken for credit.

Credits: 2