The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
UNOISE2: improved error-correction for Illumina 16S and ITS amplicon sequencing
Open accessAbstract
Amplicon sequencing of tags such as 16S and ITS ribosomal RNA is a popular method for investigating microbial populations. In such experiments, sequence errors caused by PCR and sequencing are difficult to distinguish from true biological variation. I describe UNOISE2, an updated version of the UNOISE algorithm for denoising (error-correcting) Illumina amplicon reads and show that it has comparable or better accuracy than DADA2.
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DADA2: High–resolution sample inference from Illumina amplicon data
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Cascone, T., William, W. N., Weissferdt, A., Leung, C. H., Lin, H. Y., Pataer, A., Godoy, M. C. B., Carter, B. W., Federico, L., Reuben, A., et al. (2021) · Nature Medicine · doi:10.1038/s41591-020-01224-2 · Cited by 618
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Metadata
- Authors
- Edgar, R. C.
- Venue
- bioRxiv (Cold Spring Harbor Laboratory)
- Publisher
- openRxiv
- Published
- 2016-10-15
- OpenAlex
- W2538509698
- Cited by
- 1,809
- References
- 3
- Type
- posted content
- Language
- en
- Open access
- green
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