REACTOR: REgulon Activity analysis and Comparison Tool for single-cell transcriptOmics Research 

    Markus Lindén et al.

    Bioinformatics. 2026 May 4:btag203. doi: 10.1093/bioinformatics/btag203. Online ahead of print.

    Published on May 4, 2026

    Abstract

    ABSTRACT

    SUMMARY: We introduce REACTOR, a computational tool designed to detect differential activity of transcriptional regulators and their target genes (regulons) in single-cell RNA-sequencing data. It expands the currently available framework for regulon analysis by introducing a robust statistical test to detect differential regulon activity between conditions, such as disease versus control, with multiple replicates. By contrasting different conditions, REACTOR enables identification of key condition- and cell type-specific regulons. To demonstrate the use of REACTOR, we illustrate its performance in a publicly available COVID-19 dataset.

    AVAILABILITY: REACTOR R-package together with an implementation vignette are available at https://www.github.com/elolab/REACTOR.

    PMID:42082398 | DOI:10.1093/bioinformatics/btag203

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