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Investigate a sparse encoding of genotype posteriors. E.g. an equivalent to the PP field (phred-scaled probabilities) in which zeoro values are omitted. This can be represented as a map of genotype index to non-zero phred scaled probabilities. This effectively removes genotypes with probabilities <= 0.1. An example may look like "0=10,2=3,7=1" and have the String type in VCF.
The text was updated successfully, but these errors were encountered:
We could also use a sparse equivalent of GP if we specify a minimum posterior probability to report. E.g., >= 0.01 would work well with MCMC approximations. Alternatively, we could report a phred score of 0 for non-zero values, but this is confusing.
Investigate a sparse encoding of genotype posteriors. E.g. an equivalent to the
PP
field (phred-scaled probabilities) in which zeoro values are omitted. This can be represented as a map of genotype index to non-zero phred scaled probabilities. This effectively removes genotypes with probabilities <= 0.1. An example may look like"0=10,2=3,7=1"
and have the String type in VCF.The text was updated successfully, but these errors were encountered: