Improving Metagenomics Classification with Kmask: Entropy-Based Masking of Low-Complexity Regions
Kmask, an entropy-based masking tool implemented for use either standalone or as part of Kraken database construction, which replaces low-entropy regions with Ns, is presented, demonstrating that it is an effective method for masking low-complexity sequences in large microbial databases, thus improving the accuracy of...