Open dtaylo95 opened 10 months ago
README.md
with commands and analyses1/2
Exercise | Points Possible | Grade |
---|---|---|
Commands for Step 1.1 | 0.33 | 0.33 |
Commands for Step 2.1 | 0.33 | 0.33 |
Commands for Step 3.1 | 0.33 | 0.33 |
Answer to Step 3.4 | 1 | 0 |
Still missing your answer to question 3.4
plotting.py
script to produce plots3.25/4
Exercise | Points Possible | Grade |
---|---|---|
Code to produce step 1.2 PC plot | 1 | 1 |
Code to produce step 2.2 AFS plot | 1 | 1 |
Code to produce step 3.2 Manhattan plots | 1 | 0.75 |
Code to produce step 3.3 effect size boxplot | 1 | 0.5 |
The points about the manhattan plot and boxplot still stand.
3/4
Exercise | Points Possible | Grade |
---|---|---|
Step 1.2 PC plot | 1 | 1 |
Step 2.2 AFS plot | 1 | 1 |
Step 3.2 Manhattan plots | 1 | 1 |
Step 3.3 effect size boxplot | 1 | 0 |
Still missing your boxplot
Total: 7.25/10
You're getting there! Feel free to keep working on this and resubmit again.
README.md
with commands and analyses/2
Your
README.md
uploaded, but it looks like it's blankplotting.py
script to produce plots3.25/4
I don't have your output plots, but I took a look at your plotting code and it looks pretty good!
Very minor issue, but it looks like you're plotting ALL of your associations in your manhattan plots, rather than just the genotype associations. To clarify: when you run your GWAS, you include the top PCs as covariates in the regression (this is correct). But this means that you also get regression results for the covariates, not just the variants you're testing. Take a look at the
TEST
column in the.assoc.linear
output file(s) of theplink --linear
command to figure out which results you want to keep/plot.Also, you're boxplot code isn't complete, but this looks like a good start!
Pretty plots
0/4
All of your plots are missing. Please upload them.
Grade
Total: 3.25/10
Good work! You mostly just need to upload your plots and plink commands in your README.md and you'll be good to go (other the minor plotting issues)