Discussion guide for Thursday’s lecture

I just posted the discussion guide for Thursday’s lecture on the lecture detail page. You’ll also find a link to easyGWAS, an online tool that allows you to perform GWAS on some publicly available datasets and to upload and analyse your own data.

Remember: 5 points of your grade on Project #6 will be based on your participation in Thursday’s discussion. Please spend some time reading the papers and looking over the discussion guide before you get to class on Thursday.

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