Hide metadata

dc.contributor.authorKhan, Aziz
dc.contributor.authorMathelier, Anthony
dc.date.accessioned2017-06-04T03:38:08Z
dc.date.available2017-06-04T03:38:08Z
dc.date.issued2017
dc.identifier.citationBMC Bioinformatics. 2017 May 31;18(1):287
dc.identifier.urihttp://hdl.handle.net/10852/55545
dc.description.abstractBackground A common task for scientists relies on comparing lists of genes or genomic regions derived from high-throughput sequencing experiments. While several tools exist to intersect and visualize sets of genes, similar tools dedicated to the visualization of genomic region sets are currently limited. Results To address this gap, we have developed the Intervene tool, which provides an easy and automated interface for the effective intersection and visualization of genomic region or list sets, thus facilitating their analysis and interpretation. Intervene contains three modules: venn to generate Venn diagrams of up to six sets, upset to generate UpSet plots of multiple sets, and pairwise to compute and visualize intersections of multiple sets as clustered heat maps. Intervene, and its interactive web ShinyApp companion, generate publication-quality figures for the interpretation of genomic region and list sets. Conclusions Intervene and its web application companion provide an easy command line and an interactive web interface to compute intersections of multiple genomic and list sets. They have the capacity to plot intersections using easy-to-interpret visual approaches. Intervene is developed and designed to meet the needs of both computer scientists and biologists. The source code is freely available at https://bitbucket.org/CBGR/intervene , with the web application available at https://asntech.shinyapps.io/intervene .
dc.language.isoeng
dc.rightsThe Author(s).
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleIntervene: a tool for intersection and visualization of multiple gene or genomic region sets
dc.typeJournal article
dc.date.updated2017-06-04T03:38:10Z
dc.creator.authorKhan, Aziz
dc.creator.authorMathelier, Anthony
dc.identifier.doihttp://dx.doi.org/10.1186/s12859-017-1708-7
dc.identifier.urnURN:NBN:no-58329
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/55545/1/12859_2017_Article_1708.pdf
dc.type.versionPublishedVersion
cristin.articleid287


Files in this item

Appears in the following Collection

Hide metadata

Attribution 4.0 International
This item's license is: Attribution 4.0 International