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Bioinformatics
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tagtango: an application to compare single-cell annotations

Authors: Bernat Bramon Mora; Helen Lindsay; Antonin Thiébaut; Kenneth D Stuart; Raphael Gottardo;

tagtango: an application to compare single-cell annotations

Abstract

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.

Keywords

Applications Note, Single-Cell Analysis/methods; Software; Cluster Analysis; Computational Biology/methods; Molecular Sequence Annotation/methods; Humans, Computational Biology, Cluster Analysis, Molecular Sequence Annotation, Single-Cell Analysis, Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold