The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Swarm: robust and fast clustering method for amplicon-based studies
Open accessAbstract
Popular de novo amplicon clustering methods suffer from two fundamental flaws: arbitrary global clustering thresholds, and input-order dependency induced by centroid selection. Swarm was developed to address these issues by first clustering nearly identical amplicons iteratively using a local threshold, and then by using clusters' internal structure and amplicon abundances to refine its results. This fast, scalable, and input-order independent approach reduces the influence of clustering parameters and produces robust operational taxonomic units.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Needleman, S. B., & Wunsch, C. D. (1970) · Journal of Molecular Biology · doi:10.1016/0022-2836(70)90057-4 · Cited by 11,288
Cd-hit: Accelerated for clustering the next-generation sequencing data
Fu, L., Niu, B., Zhu, Z., Wu, S., & Li, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts565 · Cited by 11,175
Hubert, L., & Arabie, P. (1985) · Journal of Classification · doi:10.1007/bf01908075 · Cited by 8,219
PANDAseq: paired-end assembler for Illumina sequences
Masella, A. P., Bartram, A. K., Truszkowski, J. M., Brown, D. G., & Neufeld, J. D. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-31 · Cited by 2,132
Ironing out the wrinkles in the rare biosphere through improved OTU clustering
Huse, S. M., Welch, D. M., Morrison, H. G., & Sogin, M. L. (2010) · Environmental Microbiology · doi:10.1111/j.1462-2920.2010.02193.x · Cited by 1,346
Cited by
Sanctuary, M. R., Kain, J. N., Chen, S. Y., Kalanetra, K., Lemay, D. G., Rose, D. R., Yang, H. T., Tancredi, D. J., German, J. B., Slupsky, C. M., et al. (2019) · PLOS ONE · doi:10.1371/journal.pone.0210064 · Cited by 255
Krause, S., Molari, M., Gorb, E. V., Gorb, S. N., Kossel, E., & Haeckel, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-66361-7 · Cited by 125
Shift in skin microbiota of Western European women across aging
Jugé, R., Rouaud-Tinguely, P., Breugnot, J., Servaes, K., Grimaldi, C., Roth, M.-P., Coppin, H., & Closs, B. (2018) · Journal of Applied Microbiology · doi:10.1111/jam.13929 · Cited by 112
Population structure of human gut bacteria in a diverse cohort from rural Tanzania and Botswana
Hansen, M. E. B., Rubel, M. A., Bailey, A. G., Ranciaro, A., Thompson, S. R., Campbell, M. C., Beggs, W., Dave, J. R., Mokone, G. G., Mpoloka, S. W., et al. (2019) · Genome Biology · doi:10.1186/s13059-018-1616-9 · Cited by 110
A combined meta-barcoding and shotgun metagenomic analysis of spontaneous wine fermentation
Sternes, P. R., Lee, D., Kutyna, D. R., & Borneman, A. R. (2017) · GigaScience · doi:10.1093/gigascience/gix040 · Cited by 91
Modulation of pathogenic oral biofilms towards health with nisin probiotic
Radaic, A., Ye, C., Parks, B., Gao, L., Kuraji, R., Malone, E., Kamarajan, P., Zhan, L., & Kapila, Y. L. (2020) · Journal of Oral Microbiology · doi:10.1080/20002297.2020.1809302 · Cited by 59
Revealing the microbial heritage of traditional Brazilian cheeses through metagenomics
Kothe, C. I., Mohellibi, N., & Renault, P. (2022) · Food Research International · doi:10.1016/j.foodres.2022.111265 · Cited by 51
Methou, P., Hernández-Ávila, I., Aube, J., Cueff-Gauchard, V., Gayet, N., Amand, L., Shillito, B., Pradillon, F., & Cambon-Bonavita, M.-A. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00808 · Cited by 30
Metadata
- Authors
- Mahé, F., Rognes, T., Quince, C., de Vargas, C., & Dunthorn, M.
- Venue
- PeerJ
- Publisher
- PeerJ
- Published
- 2014-09-25
- Volume
- 2
- Pages
- e593
- ISSN
- 2167-8359 (ISSN-L)
- OpenAlex
- W2160209604
- Cited by
- 978
- References
- 7
- FWCI
- 19.10
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.