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Improving Metagenomics Classification with Kmask: Entropy-Based Masking of Low-Complexity Regions
Accurate taxonomic classification in metagenomics is often compromised by low-complexity sequences, which lead to chance matches that in turn cause sequences to be misclassified. Here we present Kmask, an entropy-based masking tool implemented for use either standalone or as part of Kraken [1,2] database construction,...