Zoomable Heatmaps : Improving Manhattan Plots to Compare Multiple Genome-Wide Studies
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A4 Artikkeli konferenssijulkaisussa
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Date
2024
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Language
en
Pages
16
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Design for Equality and Justice - INTERACT 2023 IFIP TC 13 Workshops, 2023, Revised Selected Papers, pp. 147-162, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Volume 14536 LNCS
Abstract
Making comparisons between genome-wide association studies is a crucial practice in genetics. Despite this, conventional visualizations used in these studies tend to suffer from readability issues. These issues include, for instance, overcrowded data points and difficulties in supporting comparisons between different distributions. One of the most commonly used visualizations for this purpose, the traditional Manhattan plot, is visually optimized for comparing peaks only within one distribution of data points. In genetics research, however, there is often a need to compare multiple distributions. In this paper, we present a novel interaction model that relies on the use of zoomable heatmaps. This interaction model aims to support users in preliminary and straightforward cross-distribution comparisons through semantic zooming, heatmaps, and the overview+detail approach. All these interaction methods have their origin in map-based user interfaces and visualizations.Description
Publisher Copyright: © IFIP International Federation for Information Processing 2024.
Keywords
genome-wide association studies, heatmaps, Manhattan plot, overview+detail, Semantic zooming, Zoomable heatmaps
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Citation
Simeoni, F, Cerioli, N, Daly, M, Reeve, M P, Vyas, R & Masoodian, M 2024, Zoomable Heatmaps : Improving Manhattan Plots to Compare Multiple Genome-Wide Studies . in A Bramwell-Dicks, A Evans, H Petrie, M Winckler & J Abdelnour-Nocera (eds), Design for Equality and Justice - INTERACT 2023 IFIP TC 13 Workshops, 2023, Revised Selected Papers . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14536 LNCS, Springer, pp. 147-162, International Conference on Human-Computer Interaction, York, United Kingdom, 28/08/2023 . https://doi.org/10.1007/978-3-031-61698-3_14