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

dc.contributor.authorLindén, Markus
dc.contributor.authorZúñiga Norman, Sebastián I.
dc.contributor.authorVälikangas, Tommi
dc.contributor.authorJunttila, Sini
dc.contributor.authorSuomi, Tomi
dc.contributor.authorRytkönen, Kalle T
dc.contributor.authorElo, Laura L.
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organizationfi=Turun biotiedekeskus|en=Turku Bioscience Centre|
dc.contributor.organizationfi=InFLAMES Lippulaiva|en=InFLAMES Flagship|
dc.contributor.organization-code1.2.246.10.2458963.20.18586209670
dc.contributor.organization-code2609201
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.contributor.organization-code1.2.246.10.2458963.20.68445910604
dc.converis.publication-id523486404
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/523486404
dc.date.accessioned2026-06-23T20:11:32Z
dc.description.abstract<p>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.<br></p>
dc.identifier.eissn1367-4811
dc.identifier.jour-issn1367-4803
dc.identifier.urihttps://www.utupub.fi/handle/11111/62243
dc.identifier.urlhttps://doi.org/10.1093/bioinformatics/btag203
dc.identifier.urnURN:NBN:fi-fe2026052050851
dc.language.isoen
dc.okm.affiliatedauthorLinden, Markus
dc.okm.affiliatedauthorZuniga, Sebastian
dc.okm.affiliatedauthorVälikangas, Tommi
dc.okm.affiliatedauthorJunttila, Sini
dc.okm.affiliatedauthorSuomi, Tomi
dc.okm.affiliatedauthorRytkönen, Kalle
dc.okm.affiliatedauthorElo, Laura
dc.okm.discipline318 Medical biotechnologyen_GB
dc.okm.discipline318 Lääketieteen bioteknologiafi_FI
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherOxford University Press (OUP)
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.articlenumberbtag203
dc.relation.doi10.1093/bioinformatics/btag203
dc.relation.ispartofjournalBioinformatics
dc.relation.issue5
dc.relation.volume42
dc.titleREACTOR: REgulon Activity analysis and Comparison Tool for single-cell transcriptOmics Research
dc.year.issued2026

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