Closed pontushojer closed 4 years ago
Looks nice. I think I'd prefer it to be in bar plots, they are quite standard for coverage from what I have seen but the data is definitely good to have!
Looks nice. I think I'd prefer it to be in bar plots, they are quite standard for coverage from what I have seen but the data is definitely good to have!
Since the tool generates data files we could quite easily generate our own plots from these later on.
The benefit of these plots are that you can compare across multiple samples should you want to.
Looks nice. I think I'd prefer it to be in bar plots, they are quite standard for coverage from what I have seen but the data is definitely good to have!
Since the tool generates data files we could quite easily generate our own plots from these later on.
The benefit of these plots are that you can compare across multiple samples should you want to.
True and True. Awesome!
Will merge this as soon as #23 is merged.
This PR introduces the tool mosdepth to the pipe. This is very useful to calculate coverage statistics and is also implemented as a MultiQC module that create plots (see examples below). This will be verty useful in the report (see https://github.com/FrickTobias/BLR/issues/217).
The conda environment files have also been updated. Note that I have limited the allowed version of both
snakemake
andbowtie2
as the latest version cause errors in the pipe. These errors are referenced in the comments next to the tools.Examples of MultiQC plots
This should not be merged before #26 and #27 are merged. Possibly I will have to rebase too.