{
  "id": 9487105,
  "title": "Improving Metagenomics Classification with Kmask: Entropy-Based Masking of Low-Complexity Regions",
  "url": "https://urgent.news/2026/09/23/improving-metagenomics-classification-with-kmask-entropy-based",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-23T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.22.753623v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Abstract 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, which replaces low-entropy regions with Ns. Using a sliding window…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}