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dc.contributor.authorFlobak, Åsmund
dc.contributor.authorVázquez, Miguel
dc.contributor.authorLægreid, Astrid
dc.contributor.authorValencia, Alfonso
dc.date.accessioned2017-06-07T07:36:54Z
dc.date.available2017-06-07T07:36:54Z
dc.date.created2017-06-06T12:51:51Z
dc.date.issued2017
dc.identifier.issn1367-4803
dc.identifier.urihttp://hdl.handle.net/11250/2444502
dc.description.abstractMotivation: Drug synergies are sought to identify combinations of drugs particularly beneficial. User-friendly software solutions that can assist analysis of large-scale datasets are required. Results: CImbinator is a web-service that can aid in batch-wise and in-depth analyzes of data from small-scale and large-scale drug combination screens. CImbinator offers to quantify drug combination effects, using both the commonly employed median effect equation, as well as advanced experimental mathematical models describing dose response relationships. Availability and Implementation: CImbinator is written in Ruby and R. It uses the R package drc for advanced drug response modeling. CImbinator is available at http://cimbinator.bioinfo.cnio.es, the source-code is open and available at https://github.com/Rbbt-Workflows/combination_index. A Docker image is also available at https://hub.docker.com/r/mikisvaz/rbbt-ci_mbinator/.nb_NO
dc.language.isoengnb_NO
dc.publisherOxford University Pressnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCImbinator: a web-based tool for drug synergy analysis in small- and large-scale datasetsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersion
dc.source.journalBioinformaticsnb_NO
dc.identifier.doi10.1093/bioinformatics/btx161
dc.identifier.cristin1474241
dc.description.localcode© The Author 2017. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.nb_NO
cristin.unitcode194,65,15,0
cristin.unitnameInstitutt for kreftforskning og molekylær medisin
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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