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Over polishing genome assemblies after using Neural network based polishers

Hi all,

I have noticed that after running RNN (Recurrent-Neural-Network) based polishing programs like HELEN/medaka, the quality of the assembly worsens in terms of BUSCO completeness, N50, etc. which suggests some over-polishing. I am a bit puzzled why would it do that. Does anyone have any opinions on that?

Cheers, Urmi

assembly next-gen

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