SynergyFinder 2.0: Visual analytics of multi-drug combination synergies

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorIanevski, Aleksandren_US
dc.contributor.authorGiri, Anil K.en_US
dc.contributor.authorAittokallio, Teroen_US
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.organizationUniversity of Helsinkien_US
dc.date.accessioned2022-03-28T09:43:10Z
dc.date.available2022-03-28T09:43:10Z
dc.date.issued2021en_US
dc.descriptionFunding Information: Academy of Finland [292611, 310507, 313267, 326238 to T.A.]; Cancer Society of Finland [to T.A.]; Sigrid Jus?lius Foundation [to TA]. Funding for open access charge: European Union's Horizon 2020 Research and Innovation Programme [ERA PerMed JAKSTAT-TARGET project]. Funding Information: Academy of Finland [292611, 310507, 313267, 326238 to T.A.]; Cancer Society of Finland [to T.A.]; Sigrid Jusélius Foundation [to TA]. Funding for open access charge: European Union’s Horizon 2020 Research and Innovation Programme [ERA PerMed JAKSTAT-TARGET project]. Conflict of interest statement. None declared. Publisher Copyright: © The Author(s) 2020.
dc.description.abstractSynergyFinder (https://synergyfinder.fimm.fi) is a stand-alone web-application for interactive analysis and visualization of drug combination screening data. Since its first release in 2017, SynergyFinder has become a widely used web-tool both for the discovery of novel synergistic drug combinations in pre-clinical model systems (e.g. cell lines or primary patient-derived cells), and for better understanding of mechanisms of combination treatment efficacy or resistance. Here, we describe the latest version of SynergyFinder (release 2.0), which has extensively been upgraded through the addition of novel features supporting especially higher-order combination data analytics and exploratory visualization of multi-drug synergy patterns, along with automated outlier detection procedure, extended curve-fitting functionality and statistical analysis of replicate measurements. A number of additional improvements were also implemented based on the user requests, including new visualization and export options, updated user interface, as well as enhanced stability and performance of the web-tool. With these improvements, SynergyFinder 2.0 is expected to greatly extend its potential applications in various areas of multi-drug combinatorial screening and precision medicine.en
dc.description.versionPeer revieweden
dc.format.extentW488-W493
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationIanevski, A, Giri, A K & Aittokallio, T 2021, ' SynergyFinder 2.0: Visual analytics of multi-drug combination synergies ', Nucleic Acids Research, vol. 48, no. 1, pp. W488-W493 . https://doi.org/10.1093/NAR/GKAA216en
dc.identifier.doi10.1093/NAR/GKAA216en_US
dc.identifier.issn0305-1048
dc.identifier.issn1362-4962
dc.identifier.otherPURE UUID: e5f93e7b-2f66-4d2f-9c46-e2341430fdf2en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/e5f93e7b-2f66-4d2f-9c46-e2341430fdf2en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85086923971&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/80966484/SynergyFinder_2.0_visual_analytics_of_multi_drug_combination_synergies.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/113808
dc.identifier.urnURN:NBN:fi:aalto-202203282685
dc.language.isoenen
dc.publisherOXFORD UNIV PRESS
dc.relation.ispartofseriesNucleic Acids Researchen
dc.relation.ispartofseriesVolume 48, issue 1en
dc.rightsopenAccessen
dc.titleSynergyFinder 2.0: Visual analytics of multi-drug combination synergiesen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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