CONSTAX2: Improved taxonomic classification of environmental DNA markers.
dc.contributor.author | Liber, Julian A | |
dc.contributor.author | Bonito, Gregory | |
dc.contributor.author | Benucci, Gian Maria Niccolò | |
dc.date.accessioned | 2022-01-14T15:40:35Z | |
dc.date.available | 2022-01-14T15:40:35Z | |
dc.date.issued | 2021-05-07 | |
dc.date.updated | 2022-01-14T15:40:35Z | |
dc.description.abstract | SummaryCONSTAX - the CONSensus TAXonomy classifier - was developed for accurate and reproducible taxonomic annotation of fungal rDNA amplicon sequences and is based upon a consensus approach of RDP, SINTAX, and UTAX algorithms. CONSTAX2 extends these features to classify prokaryotes as well as eukaryotes and incorporates BLAST-based classifiers to reduce classification errors. Additionally, CONSTAX2 implements a conda-installable command line tool with improved classification metrics, faster training, multithreading support, capacity to incorporate external taxonomic databases, and new isolate matching and high-level taxonomy tools, replete with documentation and example tutorials.AvailabilityCONSTAX2 is available at https://github.com/liberjul/CONSTAXv2, and is packaged for Linux and MacOS from Bioconda with use under the MIT License. A tutorial and documentation are available at https://constax.readthedocs.io/en/latest/.Supplementary informationSupplementary data are available at Bioinformatics online. | |
dc.identifier | 6271412 | |
dc.identifier.issn | 1367-4803 | |
dc.identifier.issn | 1367-4811 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Oxford University Press (OUP) | |
dc.relation.ispartof | Bioinformatics (Oxford, England) | |
dc.relation.isversionof | 10.1093/bioinformatics/btab347 | |
dc.title | CONSTAX2: Improved taxonomic classification of environmental DNA markers. | |
dc.type | Journal article | |
duke.contributor.orcid | Liber, Julian A|0000-0002-9941-8268 | |
pubs.begin-page | 3941 | |
pubs.end-page | 3943 | |
pubs.issue | 21 | |
pubs.organisational-group | Duke | |
pubs.organisational-group | Trinity College of Arts & Sciences | |
pubs.organisational-group | Student | |
pubs.organisational-group | Biology | |
pubs.publication-status | Published | |
pubs.volume | 37 |
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