ArticlePeerJ2021
On the use of sequence-quality information in OTU clustering.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Metagenomic analysis of the vaginal microbiota in cows with ovarian cysts.Journal of veterinary research · 2026Article
- Assessing benthic macroinvertebrate communities' spatial heterogeneity in Mediterranean transitional waters through eDNA metabarcoding.Scientific reports · 2024Article
- Endophytic Microorganisms in Tomato Roots, Changes in the Structure and Function of the Community at Different Growing Stages.Microorganisms · 2024Article
- Microbial Diversity and Flavor Regularity of Soy Milk Fermented Using Kombucha.Foods (Basel, Switzerland) · 2023Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHigh-throughput sequencing has become an essential technology in life science research. Despite continuous improvements in technology, the produced sequences are still not entirely accurate. Consequently, the sequences are usually equipped with error probabilities. The quality information is already employed to find better solutions to a number of bioinformatics problems (
resultsIn this paper, we present quality-aware clustering methods inspired by quality-weighted alignments and model-based denoising, and explore their applicability to OTU clustering. We implemented the quality-aware methods in a revised version of our
conclusionsThe quality-aware methods expand the iterative,
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