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2024-04-01Zeitschriftenartikel
POCP-nf: an automatic Nextflow pipeline for calculating the percentage of conserved proteins in bacterial taxonomy
dc.contributor.authorHölzer, Martin
dc.date.accessioned2026-02-10T13:10:51Z
dc.date.available2026-02-10T13:10:51Z
dc.date.issued2024-04-01none
dc.identifier.other10.1093/bioinformatics/btae175
dc.identifier.urihttp://edoc.rki.de/176904/13314
dc.description.abstractSummary: Sequence technology advancements have led to an exponential increase in bacterial genomes, necessitating robust taxonomic classification methods. The Percentage Of Conserved Proteins (POCP), proposed initially by Qin et al. (2014), is a valuable metric for assessing prokaryote genus boundaries. Here, I introduce a computational pipeline for automated POCP calculation, aiming to enhance reproducibility and ease of use in taxonomic studies. Availability and implementation: The POCP-nf pipeline uses DIAMOND for faster protein alignments, achieving similar sensitivity to BLASTP. The pipeline is implemented in Nextflow with Conda and Docker support and is freely available on GitHub under https://github.com/hoelzer/pocp. The open-source code can be easily adapted for various prokaryotic genome and protein datasets. Detailed documentation and usage instructions are provided in the repository.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subjectGenome, Bacterialeng
dc.subjectProkaryotic Cells*eng
dc.subjectReproducibility of Resultseng
dc.subjectSoftware*eng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titlePOCP-nf: an automatic Nextflow pipeline for calculating the percentage of conserved proteins in bacterial taxonomynone
dc.typearticle
dc.identifier.urnurn:nbn:de:0257-176904/13314-5
dc.type.versionpublishedVersionnone
local.edoc.container-titleBioinformaticsnone
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameOxford University Pressnone
local.edoc.container-reportyear2024none
local.edoc.container-firstpage1none
local.edoc.container-lastpage4none
dc.description.versionPeer Reviewednone

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