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

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 t...

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Bibliographic Details
Published inIEEE Pacific Visualization Symposium pp. 149 - 159
Main Authors Basu, Soumyadeep, Wirthlin, Morgan, Eggermont, Jeroen, Kroes, Thomas, Lelieveldt, Boudewijn, Lein, Ed, Bakken, Trygve, Hollt, Thomas
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.04.2025
Subjects
Bioinformatics Visualization
Biological information theory
Biomedical and Medical Visualization
Collaboration
Data visualization
Design Study
Genetics
High dimensional data
Regulation
Sequential analysis
Source coding
Transcriptomics
Visual analytics
Online AccessGet full text
ISSN2165-8773
DOI10.1109/PacificVis64226.2025.00021

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Summary: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.The Cytosplore EvoViewer installer application can be downloaded from the Cytosplore Viewer website 1 , and its source code is available on the ManiVault Studio GitHub 2 . 1 https://viewer.cytosplore.org 2 https://github.com/ManiVaultStudio/CytosploreEvoViewer
ISSN:2165-8773
DOI:10.1109/PacificVis64226.2025.00021