28 karma · joined August 31, 2022
For balance: Nature (the journal) does have a high bar for entry.. but also a high number of retractions...
from __future__ import braces
If alcohol was not already widely (ab)used in a county would they be wrong to prohibit it?
(Note not meant in any form of malice, intended as probing questions for discussion)
But I'd add getting rid of heatmaps on large datasets. They are information dense and pretty, but I can't see how anyone interprets them. Better to do clustering and plot the data for each relevant cluster in a more meaningful way.
Just a thought
It does feel a little unfair a comparison. Everyone knows that for loops are slow in python.. as is much of the core library. But pushing analysis to c using pythonic APIs (numpy/numba/pytorch) is fairly trivial
You have tasks which require resources based on the input parameters, these are run in docker containers to ensure the environment and you want to track the output of each step. Often these are embarrassingly parallel operations (e.g. I have 200 samples to do the same thing on).
Something like dask perhaps,but can specify a docker image for the task?
What is the goto in DevOps for similar tasks? GitHub actions comes pretty close...
To bioinformatics what is the unique selling point of next flow over say wdl/Cromwell?
I can't even imagine the sinking feeling..