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call sc2ts import-metadata dataset.zarr metadata.tsv.gz --descriptions=field_descriptions.json (requires Add support for "description" for metadata fields sc2ts#459). We may want to do this in Python within snakemake so that we can call the massage_viridian_metadata function.
(Optional, probably doesn't make much difference). Call Dataset.reorder by the Date_tree field.
Call create_zip to create the final version.
With this, we should have a 100% reproducible and automated pipeline for generating the final mafft-aligned Zarr dataset from the primary sources.
The text was updated successfully, but these errors were encountered:
Once #270 is done, we can add some more steps to the pipeline to create the Zarr dataset.
This will
sc2ts import-metadata dataset.zarr metadata.tsv.gz --descriptions=field_descriptions.json
(requires Add support for "description" for metadata fields sc2ts#459). We may want to do this in Python within snakemake so that we can call themassage_viridian_metadata
function.create_zip
to create the final version.With this, we should have a 100% reproducible and automated pipeline for generating the final mafft-aligned Zarr dataset from the primary sources.
The text was updated successfully, but these errors were encountered: