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dc.contributor.authorHöllt, Thomasen_US
dc.contributor.authorPezzotti, Nicolaen_US
dc.contributor.authorvan Unen, Vincenten_US
dc.contributor.authorLi, Naen_US
dc.contributor.authorKoning, Fritsen_US
dc.contributor.authorEisemann, Elmaren_US
dc.contributor.authorLelieveldt, Boudewijn P. F.en_US
dc.contributor.authorVilanova, Annaen_US
dc.contributor.editorBruckner, Stefan and Oeltze-Jafra, Steffenen_US
dc.date.accessioned2019-05-05T17:45:20Z
dc.date.available2019-05-05T17:45:20Z
dc.date.issued2019
dc.identifier.issn1017-4656
dc.identifier.urihttps://doi.org/10.2312/egm.20191032
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egm20191032
dc.description.abstractRecent advances in single-cell acquisition technology have led to a shift towards single-cell analysis in many fields of biology. In immunology, detailed knowledge of the cellular composition is of interest, as it can be the cause of deregulated immune responses, which cause diseases. Similarly, vaccination is based on triggering proper immune responses; however, many vaccines are ineffective or only work properly in a subset of those who are vaccinated. Identifying differences in the cellular composition of the immune system in such cases can lead to more precise treatment. Cytosplore is an integrated, interactive visual analysis framework for the exploration of large single-cell datasets. We have developed Cytosplore in close collaboration with immunology researchers and several partners use the software in their daily workflow. Cytosplore enables efficient data analysis and has led to several discoveries alongside high-impact publications.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCCS Concepts
dc.subjectHuman
dc.subjectcentered computing
dc.subject> Information visualization
dc.subjectVisualization theory
dc.subjectconcepts and paradigms
dc.titleCytosplore: Interactive Visual Single-Cell Profiling of the Immune Systemen_US
dc.description.seriesinformationEurographics 2019 - Dirk Bartz Prize
dc.description.sectionheaders1st Prize
dc.identifier.doi10.2312/egm.20191032
dc.identifier.pages1-4


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