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dc.contributor.authorFjukstad, Bjørn
dc.contributor.authorOlsen, Karina Standahl
dc.contributor.authorJareid, Mie
dc.contributor.authorLund, Eiliv
dc.contributor.authorBongo, Lars Ailo
dc.date.accessioned2022-05-19T10:35:26Z
dc.date.available2022-05-19T10:35:26Z
dc.date.issued2015-03-30
dc.description.abstractKvik is an open-source system that we developed for explorative analysis of functional genomics data from large epidemiological studies. Creating such studies requires a significant amount of time and resources. It is therefore usual to reuse the data from one study for several research projects. Often each project requires implementing new analysis code, integration with specific knowledge bases, and specific visualizations. Existing data exploration tools do not provide all the required functionality for such multi-study data exploration. We have therefore developed the Kvik framework which makes it easy to implement specialized data exploration tools for specific projects. Applications in Kvik follow the three-tier architecture commonly used in web applications, with REST interfaces between the tiers. This makes it easy to adapt the applications to new statistical analyses, metadata, and visualizations. Kvik uses R to perform ondemand data analyses when researchers explore the data. In this note, we describe how we used Kvik to develop the Kvik Pathways application to explore gene expression data from healthy women with high and low plasma ratios of essential fatty acids using biological pathway visualizations. Researchers interact with Kvik Pathways through a web application that uses the JavaScript libraries Cytoscape.js and D3. We use Docker containers to make deployment of Kvik Pathways simple.en_US
dc.identifier.citationFjukstad B, Standahl Olsen K, Jareid M et al. Kvik: three-tier data exploration tools for flexible analysis of genomic data in epidemiological studies [version 1; peer review: 2 approved with reservations]. F1000Research 2015, 4:81en_US
dc.identifier.cristinIDFRIDAID 1176492
dc.identifier.doi10.12688/f1000research.6238.1
dc.identifier.issn1892-0713
dc.identifier.issn1892-0721
dc.identifier.urihttps://hdl.handle.net/10037/25224
dc.language.isoengen_US
dc.publisherF1000 Researchen_US
dc.relation.journalNIKT: Norsk IKT-konferanse for forskning og utdanning
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7-IDEAS-ERC/232997/EU/TRANSCRIPTOMICS IN CANCER EPIDEMIOLOGY/TICE/en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2015 The Author(s)en_US
dc.titleKvik: three-tier data exploration tools for flexible analysis of genomic data in epidemiological studies [version 1; peer review: 2 approved with reservations]en_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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