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Thank you for creating and maintaining NanoSim, great tool.
Could nanosim be used to fine tune the parameters of Minimap2? If so do you have any recommendation on how to extract the relevant data to help inform parameter selection.
A non complete list of minimap2 params I'd like to fine tune:
Gap open penalty
Minimizer window size
Mismatching penalty
Thanks!
The text was updated successfully, but these errors were encountered:
That's an interesting proposition; I think it can be done.
First, you will need to simulate a set of reads (with simulator.py). Note that each simulated read has the corresponding source region coordinates encoded within its read name in the FASTQ file.
You can then align these simulated reads with minimap2 with a sweep of relevant parameters. You will need to check the accuracy of each alignment against the read name information mentioned previously.
Hi there,
Thank you for creating and maintaining NanoSim, great tool.
Could nanosim be used to fine tune the parameters of Minimap2? If so do you have any recommendation on how to extract the relevant data to help inform parameter selection.
A non complete list of minimap2 params I'd like to fine tune:
Thanks!
The text was updated successfully, but these errors were encountered: