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Very rough run to see when it crashes (it is very slow depending on combinatorics of possible haplotype combos)
Ran it several times incrementing n bi-allelic loci and found slight upper limit of ~9-10 loci where it gets really slow
Laos data: 25 samples + 99 microhaps
Few runs to see how it works on microhap data (eg incrementing n microhaps - but depends on how diverse microhaps are)
6 loci works and we started to cross-check with expected results (given this is data simulated by Nick and we can calculate the ground truth allele freqs and phased genotypes). Some COI estimates and phased genotypes didn’t match expected - but this was not unexpected because we chose first 6 loci at random and there may not be sufficient resolution if loci not diverse enough
So then selected top 6 loci based on highest He and ran malaria.em (still running as of 15:30 thursday!) - results TBD
Rationale: use case is DR dhps mutants (6 loci multi-locus analyses needed - so we want to get this running and this will be material for PGEforge tutorial)
End-to-end dirty scripts running malaria.em on all datasets mentioned above
Skeleton of PGEforge tutorial of how to run malaria.em (cleanest for the Laos allele table)
Functions to wrangle malaria.em output into gt_freq_summary (Population-level multilocus genotype frequency estimates + standard error) and gt_phase_summary (Phased genotypes per sample + posterior probability) (these are not yet in proper PGEcore documented module script format)
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@shaziaruybal let us know if you have capacity to work on this, or if you need to pass it off.
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Shazia's update on her malaria.em work, copied from the "brain dump" Google Doc:
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@shaziaruybal let us know if you have capacity to work on this, or if you need to pass it off.
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