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Describe the solution you'd like
TO iteratively handle as many population grouping levels as desired by iteratively analyzing samples dynamically.
Describe alternatives you've considered, if any
use an if statement to iteratively fire a rule to analyze each cluster on its own. Will require that we transcribe the clusters into the appropriate format for PLINK-2.0 as well though.
The text was updated successfully, but these errors were encountered:
Snakemake has recently released support for an official portable encapsulated project (PEP), a metadata storage standard specifically designed to standardise the representation of sample metadata and decouple it from the analysis. This is a very good practice to implement and support ourselves and until this, we have essentially been doing our own version of this in the form of our cluster storage information.
I would recommend implementing this standard to help facilitate Dynamic cluster count analysis.
Describe the solution you'd like
TO iteratively handle as many population grouping levels as desired by iteratively analyzing samples dynamically.
Describe alternatives you've considered, if any
use an
if
statement to iteratively fire a rule to analyze each cluster on its own. Will require that we transcribe the clusters into the appropriate format forPLINK-2.0
as well though.The text was updated successfully, but these errors were encountered: