Incorporate a model for GC bias that can read bias from real user data, build a model, and apply that to the simulated data. This will result in areas of high GC concentration to have lower coverage relative to the entire genome. Compare to what was done in rneat (github.com/ncsa/rusty-neat).
Incorporate a model for GC bias that can read bias from real user data, build a model, and apply that to the simulated data. This will result in areas of high GC concentration to have lower coverage relative to the entire genome. Compare to what was done in
rneat(github.com/ncsa/rusty-neat).