Yu-Chen Ge

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,...