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I actually made quite a few changes, which I hope won't mess things up too much.
You'll need to install numba, pandas, and dfply for the code to run.
Note the arguments:
I added a required argument,
sample_name_luts
, which accepts file names with your sample information from the UofM sequencing core. The script creates a lookup table to associate sample_ids with sample descriptions as you gave them to UofM.I changed "ext" to "ChIP" in some arguments.
I added the "numba" argument. You must include this argument to use the jitted bootstrapping function. If you don't include
--numba
at runtime, you'll just use the original sampling function.