In Proceedings of IEEE Pacific Visualization Conference

Cytosplore EvoViewer: Visual Analytics of Conserved Evolutionary Patterns in multi-species single-cell sequencing data

Soumyadeep Basu, Morgan Wirthlin, Jeroen Eggermont, Thomas Kroes, Boudewijn P. F. Lelieveldt, Ed S. Lein, Trygve E. Bakken, and Thomas Höllt

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Single-cell transcriptomics has enhanced our understanding of the brain’s cellular composition. Biologists now analyze complex datasets to explore how marker genes influence biological processes, genetic variations, and phenotypic traits. A challenge is comparing these datasets across species to detect subtle differences or similarities to evolutionary development. Here, we present Cytosplore EvoViewer to facilitate examining relationships between transcriptomic datasets across species, simplifying the analysis of marker gene regulation and its impact on biological functions and integrating these findings with prior evolutionary knowledge or species-specific traits. We conducted a design study, including domain analysis, implementation of the results into Cytosplore EvoViewer, and an expert evaluation. Cytosplore EvoViewer offers valuable insights into genetic variations and evolutionary dynamics, helping to understand the diversity and the unity within diversity across species and their evolutionary development.

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@inproceedings{bib:basu:2025,
    author       = { Basu, Soumyadeep and Wirthlin, Morgan and Eggermont, Jeroen and Kroes, Thomas and Lelieveldt, Boudewijn P. F. and Lein, Ed S. and Bakken, Trygve E. and Höllt, Thomas },    
    title        = { Cytosplore EvoViewer: Visual Analytics of Conserved Evolutionary Patterns in multi-species single-cell sequencing data },
    booktitle    = { In Proceedings of IEEE Pacific Visualization Conference },
    year         = { 2025 },
    url          = { https://publications.graphics.tudelft.nl/papers/812 },
}