SINTAX: a simple non-Bayesian taxonomy classifier for 16S and ITS sequences
By Robert C. Edgar. bioRxiv, 2016
832 citations recorded by the source corpus.
Subfields: Ecology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/bab1bea88f411ec81066dd284a512a50dff27cca
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- J. Gregory Caporaso
- Nicholas A. Bokulich
- Rob Knight
- Leho Tedersoo
- Matthew R. Dillon
- Urmas Kõljalg
- Kessy Abarenkov
- J. Rideout
In Molecular Biology
- J. Gregory Caporaso
- Nicholas A. Bokulich
- Rob Knight
- Leho Tedersoo
- Matthew R. Dillon
- Evan Bolyen
- Urmas Kõljalg
- Kessy Abarenkov
Citations in the corpus
- Bacterial metabolism of bile acids promotes peripheral Treg cell generation (2020, positive): “Taxonomic classification of OTU representative sequences was performed using usearch-sintax, an implementation of the SINTAX algorithm 30 using version 16 of the Ribosomal Database Project (RDP) Training Set 31 .”
- The UNITE database for molecular identification and taxonomic communication of fungi and other eukaryotes: sequences, taxa and classifications reconsidered (2023, background): “UNITE offers web-based third-party sequence curation and addition of metadata, and SH-based reference datasets are released for many popular metabarcoding (massive parallel sequencing of amplified genetic markers; ( 4 )) pipelines, notably QIIME ( 5 ) and SINTAX ( 6 ).”
- Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin (2018, methodology): “Novel taxon classification performance is evaluated using precision, recall, F501 measure, overclassification rates, underclassification rates, and misclassification rates [25] 502 for each taxonomic level (phylum to species), computed with the following definitions (see 503 below, Performance analy”