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dc.date.accessioned2021-08-16T15:31:56Z
dc.date.available2021-08-16T15:31:56Z
dc.date.created2021-08-10T16:03:58Z
dc.date.issued2021
dc.identifier.citationMahé, Frédéric Czech, Lucas Stamatakis, Alexandros Quince, Christopher de Vargas, Colomban Dunthorn, Micah Rognes, Torbjørn . Swarm v3: towards tera-scale amplicon clustering. Bioinformatics. 2021
dc.identifier.urihttp://hdl.handle.net/10852/86819
dc.description.abstractMotivation Previously we presented swarm, an open-source amplicon clustering programme that produces fine-scale molecular operational taxonomic units (OTUs) that are free of arbitrary global clustering thresholds. Here, we present swarm v3 to address issues of contemporary datasets that are growing towards tera-byte sizes. Results When compared with previous swarm versions, swarm v3 has modernized C++ source code, reduced memory footprint by up to 50%, optimized CPU-usage and multithreading (more than 7 times faster with default parameters), and it has been extensively tested for its robustness and logic. Availability and implementation Source code and binaries are available at https://github.com/torognes/swarm. Supplementary information Supplementary data are available at Bioinformatics online.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleSwarm v3: towards tera-scale amplicon clustering
dc.typeJournal article
dc.creator.authorMahé, Frédéric
dc.creator.authorCzech, Lucas
dc.creator.authorStamatakis, Alexandros
dc.creator.authorQuince, Christopher
dc.creator.authorde Vargas, Colomban
dc.creator.authorDunthorn, Micah
dc.creator.authorRognes, Torbjørn
cristin.unitcode185,28,0,0
cristin.unitnameNaturhistorisk museum
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin1925175
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Bioinformatics&rft.volume=&rft.spage=&rft.date=2021
dc.identifier.jtitleBioinformatics
dc.identifier.pagecount3
dc.identifier.doihttps://doi.org/10.1093/bioinformatics/btab493
dc.identifier.urnURN:NBN:no-89456
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1367-4803
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/86819/1/btab493.pdf
dc.type.versionPublishedVersion
dc.relation.projectNOTUR/NORSTORE/NN9383K


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