add option to include additional mutation scores visualization

[PlushZ]

Hi,
thank you @jonas-fuchs for this great tool.

I created this PR to introduce the option for visualizing additional scores such as MAVE affinity, expression, and antibody escape scores derived from deep mutational experiments. When the -s parameter is utilized and corresponding scores are available, the visualizations of these scores are incorporated into the plot. Otherwise, the plotting functions as usual.

[jonas-fuchs]

Hi ho, this is cool 😄. Thanks for the PR! Give me a bit to properly review the code (likely sometime next week). Some plotting issues I spotted just from the example pngs that would improve the overall vis:

• Heatmap cells are not squares in all cases: I suspect that this might be caused by the y plot size.
• Some whitespace could be introduced between the genome vis and the score tracks so that the score vis does not leak into the genome vis.
• Location of the score legend seems to be random?
• The mutation frequency legend is now not fixed anymore to the upper and lower y-boundaries of the heatmap.

[jonas-fuchs]

Hi ho, so I had some time and did tried to correctly map all the coordinates. Did not fix the cbar plotting issue but I got an idea :D

CHANGELOG (so far):

• fixed the y coordinates for the score tracks
• introduced some spacing between the genome vis and the score tracks so that both do not overlap
• Heatmap squares are square
• cbar for the heatmap has now the correct location

Have tested this a bit, but I will try to test everything as soon as I fixed the score cbars

[jonas-fuchs]

@PlushZ I have rewrote quite a bit of your plotting code. Matplotlib makes it difficult to really fix colorbars in a right way and everything I tried did result in quite a bit of mayhem. So I came up with an hopfully clever solution to the problem. Could you have a look if this works for you?