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Currently, a random variable decides which modification is introduced at a base position with hardcoded likelihoods of MM=0.8, INS=0.1 and DEL=0.1. There should be a better way to control this via the CLI.
The text was updated successfully, but these errors were encountered:
Reminder that this should be improved. Currently, the likelihood that a MM/INS/DEL is introduced is coupled to an initial overall likelihood of introducing an error at all. This approach is impractical, slow (unnecessary random floats) and gives a false intuition of the individual mutation likelihoods. The overall likelihood of introducing a mutation should be removed. Also, the option to learn error likelihoods from real data was suggested (thanks to @matthuska )
Currently, a random variable decides which modification is introduced at a base position with hardcoded likelihoods of MM=0.8, INS=0.1 and DEL=0.1. There should be a better way to control this via the CLI.
The text was updated successfully, but these errors were encountered: