REACTOR: REgulon Activity analysis and Comparison Tool for single-cell transcriptOmics Research.
Where this comes from
- Record sourced from PubMed, PMID 42082398.
- Also identified by DOI 10.1093/bioinformatics/btag203 and PMC identifier 13218382.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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. REACTOR R-package together with an implementation vignette are available at https://www.github.com/elolab/REACTOR.
Medical subject headings
- Regulon
- Single-Cell Analysis
- Software
- Computational Biology
- Gene Expression Profiling
- Transcriptome