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I'm trying to generate multiple transcriptomic datasets in parallel with different parameters (error model, coverage/depth, and sequence identity), however, Badread consumes a lot of memory while doing this and occasionally will cause my machine to freeze while running the simulation.
Is there a way to control the memory usage, or better optimize the process of simulating multiple datasets in parallel?
The text was updated successfully, but these errors were encountered:
I'm trying to generate multiple transcriptomic datasets in parallel with different parameters (error model, coverage/depth, and sequence identity), however, Badread consumes a lot of memory while doing this and occasionally will cause my machine to freeze while running the simulation.
Is there a way to control the memory usage, or better optimize the process of simulating multiple datasets in parallel?
The text was updated successfully, but these errors were encountered: