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Meg Staton edited this page Sep 24, 2026
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I have taken the Saccharomyces cerevisiae genome and engineered in 5000 SNPs. Then I simulated 4 sets of Illumina reads from that genome. They vary in quality, level of adapter or poly-G contamination, and coverage. Your job is to
Use the pipeline from class labs to call SNPs from the original Saccharomyces cerevisiae genome (which I will provide). Your job is to find those 5000 snps.
Along the way you will find the quality issues in each sample and compare how those quality issues do or do not impact downstream snp calling.
Document your work on a github wiki, send in multiqc reports from each step, and answer some questions about your analysis.
Finally, compare the class pipeline to the pipeline from your AI SNP calling exercise that you turned in as homework. I will be providing some specific questions to think about and answer.
I'm still working on github wiki template to help guide your work. To get set up:
Register a github account if you don't already have one
Create a new repository called "EPP622-2026-SNPCalling"
Go to the wiki tab at the top and start your documentation there.
Github wikis use the markdown language for formatting, learn more here