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For Autism CRC data, we need a pipeline to create the required input data. This involves converting gnomad_qc v2 data prep steps into a form that they can be applied using a dataproc cluster, similar to other gnomAD data steps.
Definition of done
ensure Matthew has access to Garvan forks of gnomad_qc, gnomad_methods and gnomad-browser repos
have meeting with Matthew re Nature paper and methods descriptions
converted the gnomad_qc v2 data prep steps into functions
created a gnomad-browser pipeline that can run v2 data prep steps on subsetted data
Have matthew review the results
Alternative Approach
I'm trying to work backwards (to see which data prep steps we can skip) by trying to load data into the backend, and then progressively including more of the data loading steps in reverse order:
CAIDS (ClinGen Canonical Allele IDs) prep step
MNVS (Multinucleotide variants)
The text was updated successfully, but these errors were encountered:
Description
For Autism CRC data, we need a pipeline to create the required input data. This involves converting
gnomad_qc
v2 data prep steps into a form that they can be applied using a dataproc cluster, similar to other gnomAD data steps.Definition of done
gnomad_qc
,gnomad_methods
andgnomad-browser
reposgnomad_qc
v2 data prep steps into functionsgnomad-browser
pipeline that can run v2 data prep steps on subsetted dataAlternative Approach
I'm trying to work backwards (to see which data prep steps we can skip) by trying to load data into the backend, and then progressively including more of the data loading steps in reverse order:
The text was updated successfully, but these errors were encountered: