The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
UCHIME2: improved chimera prediction for amplicon sequencing
Open accessAbstract
Amplicon sequencing generates chimeric reads which can cause spurious inferences of biological variation. I describe UCHIME2, an update of the popular UCHIME chimera detection algorithm with new modes optimized for high-resolution biological sequence reconstruction (“denoising”) and other applications. I show that chimera frequency correlates inversely with divergence, that error-free chimera prediction from sequence is impossible in principle, and that UCHIME2 achieves higher detection accuracy than previous methods.
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DADA2: High–resolution sample inference from Illumina amplicon data
Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A., & Holmes, S. P. (2016) · Nature Methods · doi:10.1038/nmeth.3869 · Cited by 35,698
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
A framework for human microbiome research
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11209 · Cited by 2,650
High-throughput sequencing of the paired human immunoglobulin heavy and light chain repertoire
DeKosky, B. J., Ippolito, G. C., Deschner, R. P., Lavinder, J. J., Wine, Y., Rawlings, B. M., Varadarajan, N., Giesecke, C., Dörner, T., Andrews, S. F., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2492 · Cited by 410
Cited by
Microbiome differential abundance methods produce different results across 38 datasets
Nearing, J. T., Douglas, G. M., Hayes, M. G., MacDonald, J., Desai, D. K., Allward, N., Jones, C. M. A., Wright, R. J., Dhanani, A. S., Comeau, A. M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28034-z · Cited by 992
Abarenkov, K., Nilsson, R. H., Larsson, K.-H., Taylor, A. F. S., May, T. W., Frøslev, T. G., Pawlowska, J., Lindahl, B., Põldmaa, K., Truong, C., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkad1039 · Cited by 818
Beng, K. C., & Corlett, R. T. (2020) · Biodiversity and Conservation · doi:10.1007/s10531-020-01980-0 · Cited by 706
Petabase-scale sequence alignment catalyses viral discovery
Edgar, R. C., Taylor, B., Lin, V., Altman, T., Barbera, P., Meleshko, D., Lohr, D., Novakovsky, G., Buchfink, B., Al-Shayeb, B., et al. (2022) · Nature · doi:10.1038/s41586-021-04332-2 · Cited by 498
Self-citationComparing bioinformatic pipelines for microbial 16S rRNA amplicon sequencing
Prodan, A., Tremaroli, V., Brolin, H., Zwinderman, A. H., Nieuwdorp, M., & Levin, E. (2020) · PLOS ONE · doi:10.1371/journal.pone.0227434 · Cited by 462
Metadata
- Authors
- Edgar, R. C.
- Venue
- bioRxiv (Cold Spring Harbor Laboratory)
- Publisher
- openRxiv
- Published
- 2016-09-12
- OpenAlex
- W2520140228
- Cited by
- 351
- References
- 4
- Type
- posted content
- Language
- en
- Open access
- green
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