Tasks, Techniques, and Tools for Genomic Data Visualization

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dc.contributor.authorNusrat, Sabrinaen_US
dc.contributor.authorHarbig, Theresaen_US
dc.contributor.authorGehlenborg, Nilsen_US
dc.contributor.editorLaramee, Robert S. and Oeltze, Steffen and Sedlmair, Michaelen_US
dc.date.accessioned2019-06-02T18:23:00Z
dc.date.available2019-06-02T18:23:00Z
dc.date.issued2019
dc.description.abstractGenomic data visualization is essential for interpretation and hypothesis generation as well as a valuable aid in communicating discoveries. Visual tools bridge the gap between algorithmic approaches and the cognitive skills of investigators. Addressing this need has become crucial in genomics, as biomedical research is increasingly data-driven and many studies lack welldefined hypotheses. A key challenge in data-driven research is to discover unexpected patterns and to formulate hypotheses in an unbiased manner in vast amounts of genomic and other associated data. Over the past two decades, this has driven the development of numerous data visualization techniques and tools for visualizing genomic data. Based on a comprehensive literature survey, we propose taxonomies for data, visualization, and tasks involved in genomic data visualization. Furthermore, we provide a comprehensive review of published genomic visualization tools in the context of the proposed taxonomies.en_US
dc.description.documenttypestar
dc.description.number3
dc.description.sectionheadersMedicine and Biology
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume38
dc.identifier.doi10.1111/cgf.13727
dc.identifier.issn1467-8659
dc.identifier.pages781-805
dc.identifier.urihttps://doi.org/10.1111/cgf.13727
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13727
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleTasks, Techniques, and Tools for Genomic Data Visualizationen_US
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