The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
OptiClust, an Improved Method for Assigning Amplicon-Based Sequence Data to Operational Taxonomic Units
Open accessAbstract
The analysis of microbial communities from diverse environments using 16S rRNA gene sequencing has expanded our knowledge of the biogeography of microorganisms. An important step in this analysis is the assignment of sequences into taxonomic groups based on their similarity to sequences in a database or based on their similarity to each other, irrespective of a database. In this study, we present a new algorithm for the latter approach. The algorithm, OptiClust, seeks to optimize a metric of assignment quality by shuffling sequences between taxonomic groups. We found that OptiClust produces more robust assignments and does so in a rapid and memory-efficient manner. This advance will allow for a more robust analysis of microbial communities and the factors that shape them.
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Metadata
- Authors
- Westcott, S. L., & Schloss, P. D.
- Venue
- mSphere
- Publisher
- American Society for Microbiology
- Published
- 2017-04-26
- Volume
- 2
- Issue
- 2
- ISSN
- 2379-5042 (ISSN-L)
- OpenAlex
- W2951971263
- Cited by
- 420
- References
- 48
- FWCI
- 17.96
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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