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Add the plots for the relationship between depth and a number of quantitative metrics:
- VAF (depth per site)
- Mutation density (with depth value from the mutation density file & also with average depth per gene)
- Different flavours: all, protein affecting, non protein affecting
- Omega (average depth per gene)
- OncodriveFML (average depth per gene)
We should start with the plots for VAF and mutation density, since they are the simplest ones, and then it would be great to do it for the other metrics at the level of the gene where instead of using the depths per position we should load the information from the average depth in each of those genes.
For each of these metrics, we should generate this scatterplot and then add on top of it the hyperbolic curves of 1/depth, 2/depth up to N/depth for Ns up to a reasonable number.
It would be good to also get some counts on how many of the mutations/mutation density values follow these curves.
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