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. 2025 Feb 4;41(2):btaf012.
doi: 10.1093/bioinformatics/btaf012.

tagtango: an application to compare single-cell annotations

Bernat Bramon Mora  1   2   3 , Helen Lindsay  1   2   3 , Antonin Thiébaut  1   2   3 , Kenneth D Stuart  4 , Raphael Gottardo  1   2   3   5
Affiliations

tagtango: an application to compare single-cell annotations

Bernat Bramon Mora et al. Bioinformatics. .

Abstract

Summary: In this article, we present tagtango, an innovative R package and web application designed for robust and intuitive comparison of single-cell clusters and annotations. It offers an interactive platform that simplifies the exploration of differences and similarities among different clustering and annotation methods. Leveraging single-cell data analysis and different visualizations, it allows researchers to dissect the underlying biological differences across groups. tagtango is a user-friendly application that is portable and works seamlessly across multiple operating systems.

Availability and implementation: tagtango is freely available at https://github.com/bernibra/tagtango as an R package as well as an online web service at https://tagtango.unil.ch.

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Figures

Figure 1.
Figure 1.
Overview of the annotation comparison performed by tagtango. Panel (a) displays a Sankey diagram comparing the annotations performed by CITE-sort and Azimuth’s level 2 (i.e. ‘celltype.l2’). The diagram was filtered using tagtango to only include cells annotated as ‘CD4+ T-cells’ by Azimuth’s main cell type classification (i.e. ‘celltype.l1’) and links containing at least 20 cells. The coloured links in the diagram indicate the cell populations selected for deeper analysis. Panels (b) and (f) display rose plots of the normalized expression for the genes and protein markers deemed most relevant in the selected cell population ‘central memory CD4+ T cell’. Panels (c) and (g) display the same for the selected cell population ‘CD45RO- naive CD4+ T cell’. Panels (d) and (h) display a direct comparison between the ADT and RNA marker normalized expression for the two selected cell populations, including only those relevant markers. The colours of the bars match those of the selected links in panel (a). Panels (e) and (i) present the UMAP representation of all cells calculated using all markers for the ADT and RNA expression data, respectively. The colours of the points match those of the selected links in panel (a).
See this image and copyright information in PMC

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