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To perform this scaling, the multiplier is 1200 divided by the theoretical maximum score for a read of the given length.
If we use base quality scores directly as features for classification, we would have k base quality features for a read of length k, causing problems with high dimensionality.
We denote the product of P c (i) as ProductQ and calculate ProductQ * 100 as the ProductQ score, For de Bruijn graph based assemblers, there are L-k+1 k-mers for a read of length L. The read's correctness score is defined as the minimal value of its k-mer ProductQ scores.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com