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2024-09-11Zeitschriftenartikel
CIEVaD: A Lightweight Workflow Collection for the Rapid and On-Demand Deployment of End-to-End Testing for Genomic Variant Detection
dc.contributor.authorKrannich, Thomas
dc.contributor.authorTernovoj, Dimitri
dc.contributor.authorParaskevopoulou, Sofia
dc.contributor.authorFuchs, Stephan
dc.date.accessioned2026-03-04T09:59:38Z
dc.date.available2026-03-04T09:59:38Z
dc.date.issued2024-09-11none
dc.identifier.other10.3390/v16091444
dc.identifier.urihttp://edoc.rki.de/176904/13478
dc.description.abstractThe identification of genomic variants has become a routine task in the age of genome sequencing. In particular, small genomic variants of a single or few nucleotides are routinely investigated for their impact on an organism’s phenotype. Hence, the precise and robust detection of the variants’ exact genomic locations and changes in nucleotide composition is vital in many biological applications. Although a plethora of methods exist for the many key steps of variant detection, thoroughly testing the detection process and evaluating its results is still a cumbersome procedure. In this work, we present a collection of easy-to-apply and highly modifiable workflows to facilitate the generation of synthetic test data, as well as to evaluate the accordance of a user-provided set of variants with the test data. The workflows are implemented in Nextflow and are open-source and freely available on Github under the GPL-3.0 license.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.subjectvariant detectioneng
dc.subjectgenomicseng
dc.subjecttestingeng
dc.subjectcontinuous integrationeng
dc.subjectevaluationeng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleCIEVaD: A Lightweight Workflow Collection for the Rapid and On-Demand Deployment of End-to-End Testing for Genomic Variant Detectionnone
dc.typearticle
dc.identifier.urnurn:nbn:de:0257-176904/13478-6
dc.type.versionpublishedVersionnone
local.edoc.container-titleVirusesnone
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameMDPInone
local.edoc.container-reportyear2024none
local.edoc.container-firstpage1none
local.edoc.container-lastpage7none
dc.description.versionPeer Reviewednone

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