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Hello! Is it possible to use tensorqtl to perform QTL analyses with genotype likelihoods derived from low-coverage whole genome sequencing data, instead of hard-called genotypes?
Thanks for any guidance you can provide!
The text was updated successfully, but these errors were encountered:
Hi, definitely. The genotype input is flexible as long as it's in a compatible format. If the likelihoods are stored as dosages in PLINK pgen you can pass the --dosages flag to read those instead of the hard calls.
Hello! Is it possible to use tensorqtl to perform QTL analyses with genotype likelihoods derived from low-coverage whole genome sequencing data, instead of hard-called genotypes?
Thanks for any guidance you can provide!
The text was updated successfully, but these errors were encountered: