Marsilea: an intuitive generalized paradigm for composable visualizations
Abstract Biological data visualization is challenged by the growing complexity of datasets. Traditional single-data plots or simple juxtapositions often fail to fully capture dataset intricacies and interrelations. To address this, we introduce “cross-layout,” a novel visualization paradigm that int...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-01-01
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| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-024-03469-3 |
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| _version_ | 1841544560288727040 |
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| author | Yimin Zheng Zhihang Zheng André F. Rendeiro Edwin Cheung |
| author_facet | Yimin Zheng Zhihang Zheng André F. Rendeiro Edwin Cheung |
| author_sort | Yimin Zheng |
| collection | DOAJ |
| description | Abstract Biological data visualization is challenged by the growing complexity of datasets. Traditional single-data plots or simple juxtapositions often fail to fully capture dataset intricacies and interrelations. To address this, we introduce “cross-layout,” a novel visualization paradigm that integrates multiple plot types in a cross-like structure, with a central main plot surrounded by secondary plots for enhanced contextualization and interrelation insights. We also introduce “Marsilea,” a Python-based implementation of cross-layout visualizations, available in both programmatic and web-based interfaces to support users of all experience levels. This paradigm and its implementation offer a customizable, intuitive approach to advance biological data visualization. |
| format | Article |
| id | doaj-art-07dd718403204117ba4e142751b73d15 |
| institution | Kabale University |
| issn | 1474-760X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Genome Biology |
| spelling | doaj-art-07dd718403204117ba4e142751b73d152025-01-12T12:25:58ZengBMCGenome Biology1474-760X2025-01-012611710.1186/s13059-024-03469-3Marsilea: an intuitive generalized paradigm for composable visualizationsYimin Zheng0Zhihang Zheng1André F. Rendeiro2Edwin Cheung3Cancer Centre, University of MacauBioscience and Biological Engineering Thrust, System Hub, Hong Kong University of Science and Technology (Guangzhou)CeMM Research Center for Molecular Medicine of the Austrian Academy of SciencesCancer Centre, University of MacauAbstract Biological data visualization is challenged by the growing complexity of datasets. Traditional single-data plots or simple juxtapositions often fail to fully capture dataset intricacies and interrelations. To address this, we introduce “cross-layout,” a novel visualization paradigm that integrates multiple plot types in a cross-like structure, with a central main plot surrounded by secondary plots for enhanced contextualization and interrelation insights. We also introduce “Marsilea,” a Python-based implementation of cross-layout visualizations, available in both programmatic and web-based interfaces to support users of all experience levels. This paradigm and its implementation offer a customizable, intuitive approach to advance biological data visualization.https://doi.org/10.1186/s13059-024-03469-3 |
| spellingShingle | Yimin Zheng Zhihang Zheng André F. Rendeiro Edwin Cheung Marsilea: an intuitive generalized paradigm for composable visualizations Genome Biology |
| title | Marsilea: an intuitive generalized paradigm for composable visualizations |
| title_full | Marsilea: an intuitive generalized paradigm for composable visualizations |
| title_fullStr | Marsilea: an intuitive generalized paradigm for composable visualizations |
| title_full_unstemmed | Marsilea: an intuitive generalized paradigm for composable visualizations |
| title_short | Marsilea: an intuitive generalized paradigm for composable visualizations |
| title_sort | marsilea an intuitive generalized paradigm for composable visualizations |
| url | https://doi.org/10.1186/s13059-024-03469-3 |
| work_keys_str_mv | AT yiminzheng marsileaanintuitivegeneralizedparadigmforcomposablevisualizations AT zhihangzheng marsileaanintuitivegeneralizedparadigmforcomposablevisualizations AT andrefrendeiro marsileaanintuitivegeneralizedparadigmforcomposablevisualizations AT edwincheung marsileaanintuitivegeneralizedparadigmforcomposablevisualizations |