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dc.contributor.authorGarrison, Laura Ann
dc.contributor.authorBruckner, Stefan
dc.date.accessioned2023-01-16T13:07:15Z
dc.date.available2023-01-16T13:07:15Z
dc.date.created2022-09-15T17:49:44Z
dc.date.issued2022
dc.identifier.issn1613-4516
dc.identifier.urihttps://hdl.handle.net/11250/3043748
dc.description.abstractBiomedical illustration and visualization techniques provide a window into complex molecular worlds that are difficult to capture through experimental means alone. Biomedical illustrators frequently employ color to help tell a molecular story, e.g., to identify key molecules in a signaling pathway. Currently, color use for molecules is largely arbitrary and often chosen based on the client, cultural factors, or personal taste. The study of molecular dynamics is relatively young, and some stakeholders argue that color use guidelines would throttle the growth of the field. Instead, content authors have ample creative freedom to choose an aesthetic that, e.g., supports the story they want to tell. However, such creative freedom comes at a price. The color design process is challenging, particularly for those without a background in color theory. The result is a semantically inconsistent color space that reduces the interpretability and effectiveness of molecular visualizations as a whole. Our contribution in this paper is threefold. We first discuss some of the factors that contribute to this array of color palettes. Second, we provide a brief sampling of color palettes used in both industry and research sectors. Lastly, we suggest considerations for developing best practices around color palettes applied to molecular visualization.en_US
dc.language.isoengen_US
dc.publisherDe Gruyteren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleConsidering Best Practices in Color Palettes for Molecular Visualizationsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.source.articlenumber20220016en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.doi10.1515/jib-2022-0016
dc.identifier.cristin2052207
dc.source.journalJournal of Integrative Bioinformatics (JIB)en_US
dc.identifier.citationJournal of Integrative Bioinformatics (JIB). 2022, 19 (2), 20220016.en_US
dc.source.volume19en_US
dc.source.issue2en_US


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