{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T05:28:12Z","timestamp":1775280492090,"version":"3.50.1"},"reference-count":58,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T00:00:00Z","timestamp":1674777600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010447","name":"German Centre for Cardiovascular Research","doi-asserted-by":"publisher","award":["81Z0200101"],"award-info":[{"award-number":["81Z0200101"]}],"id":[{"id":"10.13039\/100010447","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021703","name":"Cardio-Pulmonary Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100021703","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,2,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Identifying regulatory regions in the genome is of great interest for understanding the epigenomic landscape in cells. One fundamental challenge in this context is to find the target genes whose expression is affected by the regulatory regions. A recent successful method is the Activity-By-Contact (ABC) model which scores enhancer\u2013gene interactions based on enhancer activity and the contact frequency of an enhancer to its target gene. However, it describes regulatory interactions entirely from a gene\u2019s perspective, and does not account for all the candidate target genes of an enhancer. In addition, the ABC model requires two types of assays to measure enhancer activity, which limits the applicability. Moreover, there is neither implementation available that could allow for an integration with transcription factor (TF) binding information nor an efficient analysis of single-cell data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We demonstrate that the ABC score can yield a higher accuracy by adapting the enhancer activity according to the number of contacts the enhancer has to its candidate target genes and also by considering all annotated transcription start sites of a gene. Further, we show that the model is comparably accurate with only one assay to measure enhancer activity. We combined our generalized ABC model with TF binding information and illustrated an analysis of a single-cell ATAC-seq dataset of the human heart, where we were able to characterize cell type-specific regulatory interactions and predict gene expression based on TF affinities. All executed processing steps are incorporated into our new computational pipeline STARE.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>The software is available at https:\/\/github.com\/schulzlab\/STARE<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Contact<\/jats:title>\n                    <jats:p>marcel.schulz@em.uni-frankfurt.de<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Supplementary information<\/jats:title>\n                    <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btad062","type":"journal-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T17:13:53Z","timestamp":1674753233000},"source":"Crossref","is-referenced-by-count":27,"title":["The adapted Activity-By-Contact model for enhancer\u2013gene assignment and its application to single-cell data"],"prefix":"10.1093","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0272-243X","authenticated-orcid":false,"given":"Dennis","family":"Hecker","sequence":"first","affiliation":[{"name":"Institute of Cardiovascular Regeneration, Goethe University Hospital"},{"name":"Cardio-Pulmonary Institute, Goethe University"},{"name":"German Centre for Cardiovascular Research, Partner site Rhine-Main , Frankfurt am Main 60590"}]},{"given":"Fatemeh","family":"Behjati Ardakani","sequence":"additional","affiliation":[{"name":"Institute of Cardiovascular Regeneration, Goethe University Hospital"},{"name":"Cardio-Pulmonary Institute, Goethe University"},{"name":"German Centre for Cardiovascular Research, Partner site Rhine-Main , Frankfurt am Main 60590"}]},{"given":"Alexander","family":"Karollus","sequence":"additional","affiliation":[{"name":"School of Computation, Information and Technology, Technical University of Munich , Garching 85748"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8924-8365","authenticated-orcid":false,"given":"Julien","family":"Gagneur","sequence":"additional","affiliation":[{"name":"School of Computation, Information and Technology, Technical University of Munich , Garching 85748"},{"name":"Institute of Human Genetics, Technical University of Munich , Munich 81675"},{"name":"Computational Health Center, Helmholtz Center Munich , Neuherberg 85764"},{"name":"Munich Data Science Institute, Technical University of Munich , Garching 85748, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1252-3656","authenticated-orcid":false,"given":"Marcel H","family":"Schulz","sequence":"additional","affiliation":[{"name":"Institute of Cardiovascular Regeneration, Goethe University Hospital"},{"name":"Cardio-Pulmonary Institute, Goethe University"},{"name":"German Centre for Cardiovascular Research, Partner site Rhine-Main , Frankfurt am Main 60590"}]}],"member":"286","published-online":{"date-parts":[[2023,1,27]]},"reference":[{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.1038\/nmeth.4463","article-title":"SCENIC: Single-cell regulatory network inference and clustering","volume":"14","author":"Aibar","year":"2017","journal-title":"Nat. Methods"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"9354","DOI":"10.1038\/s41598-019-45839-z","article-title":"The ENCODE blacklist: Identification of problematic regions of the genome","volume":"9","author":"Amemiya","year":"2019","journal-title":"Sci. Rep"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1161\/CIRCULATIONAHA.120.046040","article-title":"Assigning distal genomic enhancers to cardiac disease-causing genes","volume":"142","author":"Anene-Nzelu","year":"2020","journal-title":"Circulation"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"1196","DOI":"10.1038\/s41592-021-01252-x","article-title":"Effective gene expression prediction from sequence by integrating long-range interactions","volume":"18","author":"Avsec","year":"2021","journal-title":"Nat. Methods"},{"key":"2023021603385393600_","first-page":"1","article-title":"Prediction of single-cell gene expression for transcription factor analysis","volume":"9","author":"Behjati Ardakani","year":"2020","journal-title":"GigaScience"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"1747","DOI":"10.1038\/ng.3979","article-title":"Predicting causal variants affecting expression by using whole-genome sequencing and RNA-seq from multiple human tissues","volume":"49","author":"Brown","year":"2017","journal-title":"Nat. Genet"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"21.29.1","DOI":"10.1002\/0471142727.mb2129s109","article-title":"ATAC-seq: A method for assaying chromatin accessibility genome-wide","volume":"109","author":"Buenrostro","year":"2015","journal-title":"Curr. Protoc. Mol. Biol"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"D165","DOI":"10.1093\/nar\/gkab1113","article-title":"JASPAR 2022: The 9th release of the open-access database of transcription factor binding profiles","volume":"50","author":"Castro-Mondragon","year":"2022","journal-title":"Nucleic Acids Res"},{"key":"2023021603385393600_","first-page":"21931","article-title":"Histone H3K27ac separates active from poised enhancers and predicts developmental state","volume":"107","author":"Creyghton","year":"2010","journal-title":"Syst. Biol"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"e1004226","DOI":"10.1371\/journal.pgen.1004226","article-title":"The functional consequences of variation in transcription factor binding","volume":"10","author":"Cusanovich","year":"2014","journal-title":"PLoS Genet"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"837","DOI":"10.2307\/2531595","article-title":"Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach","volume":"44","author":"DeLong","year":"1988","journal-title":"Biometrics"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"R37","DOI":"10.1186\/gb-2009-10-4-r37","article-title":"Chromatin conformation signatures of cellular differentiation","volume":"10","author":"Fraser","year":"2009","journal-title":"Genome Biol"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"1664","DOI":"10.1038\/s41588-019-0538-0","article-title":"Activity-by-contact model of enhancer\u2013promoter regulation from thousands of CRISPR perturbations","volume":"51","author":"Fulco","year":"2019","journal-title":"Nat. Genet"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"e1007436","DOI":"10.1371\/journal.pcbi.1007436","article-title":"EAGLE: An algorithm that utilizes a small number of genomic features to predict tissue\/cell type-specific enhancer\u2013gene interactions","volume":"15","author":"Gao","year":"2019","journal-title":"PLoS Comput. Biol"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1016\/j.cell.2018.11.029","article-title":"A genome-wide framework for mapping gene regulation via cellular genetic screens","volume":"176","author":"Gasperini","year":"2019","journal-title":"Cell"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1038\/msb.2009.33","article-title":"Backup in gene regulatory networks explains differences between binding and knockout results","volume":"5","author":"Gitter","year":"2009","journal-title":"Mol. Syst. Biol"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/B978-0-12-800854-6.00001-4","volume-title":"Plant Transcription Factors","author":"Gonzalez","year":"2016"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1038\/nature07829","article-title":"Histone modifications at human enhancers reflect global cell-type-specific gene expression","volume":"459","author":"Heintzman","year":"2009","journal-title":"Nature"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","DOI":"10.1126\/sciadv.abf1444","article-title":"Cardiac cell type-specific gene regulatory programs and disease risk association","volume":"7","author":"Hocker","year":"2021","journal-title":"Sci. Adv"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1534\/genetics.114.167908","article-title":"Identifying causal variants at loci with multiple signals of association","volume":"198","author":"Hormozdiari","year":"2014","journal-title":"Genetics"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1038\/s41588-021-00799-x","article-title":"Independence of chromatin conformation and gene regulation during drosophila dorsoventral patterning","volume":"53","author":"Ing-Simmons","year":"2021","journal-title":"Nat. Genet"},{"key":"2023021603385393600_","author":"Karollus","year":"2022"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"2497","DOI":"10.1101\/gr.143008.112","article-title":"Genome-wide mapping of nucleosome positioning and DNA methylation within individual DNA molecules","volume":"22","author":"Kelly","year":"2012","journal-title":"Genome Res"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"2976","DOI":"10.1093\/nar\/gkt1249","article-title":"Systematic discovery and characterization of regulatory motifs in ENCODE TF binding experiments","volume":"42","author":"Kheradpour","year":"2014","journal-title":"Nucleic Acids Res"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1146\/annurev-cellbio-100617-062719","article-title":"Low-affinity binding sites and the transcription factor specificity paradox in eukaryotes","volume":"35","author":"Kribelbauer","year":"2019","journal-title":"Annu. Rev. Cell Dev. Biol"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"D252","DOI":"10.1093\/nar\/gkx1106","article-title":"HOCOMOCO: Towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-seq analysis","volume":"46","author":"Kulakovskiy","year":"2018","journal-title":"Nucleic Acids Res"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1016\/j.cell.2018.01.029","article-title":"The human transcription factors","volume":"172","author":"Lambert","year":"2018","journal-title":"Cell"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"7690","DOI":"10.1093\/nar\/gks501","article-title":"Integration of Hi-C and ChIP-seq data reveals distinct types of chromatin linkages","volume":"40","author":"Lan","year":"2012","journal-title":"Nucleic Acids Res"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1126\/science.1181369","article-title":"Comprehensive mapping of long range interactions reveals folding principles of the human genome","volume":"326","author":"Lieberman-Aiden","year":"2009","journal-title":"Science"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"2789","DOI":"10.1093\/bioinformatics\/bts529","article-title":"Genome-wide in silico prediction of gene expression","volume":"28","author":"McLeay","year":"2012","journal-title":"Bioinformatics"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"1516","DOI":"10.1038\/s41467-018-03933-2","article-title":"A geometric approach to characterize the functional identity of single cells","volume":"9","author":"Mohammadi","year":"2018","journal-title":"Nat. Commun"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"930","DOI":"10.1016\/j.cell.2017.05.004","article-title":"Targeted degradation of CTCF decouples local insulation of chromosome domains from genomic compartmentalization","volume":"169","author":"Nora","year":"2017","journal-title":"Cell"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"21521","DOI":"10.1073\/pnas.0904863106","article-title":"ChIP-Seq of transcription factors predicts absolute and differential gene expression in embryonic stem cells","volume":"106","author":"Ouyang","year":"2009","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1146\/annurev.bi.61.070192.005201","article-title":"Transcription factors: Structural families and principles of DNA recognition","volume":"61","author":"Pabo","year":"1992","journal-title":"Annu. Rev. Biochem"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1186\/s12859-021-04126-3","article-title":"Modeling transcriptional regulation using gene regulatory networks based on multi-omics data sources","volume":"22","author":"Patel","year":"2021","journal-title":"BMC Bioinformatics"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1016\/j.molcel.2018.06.044","article-title":"Cicero predicts cis-regulatory DNA interactions from single-cell chromatin accessibility data","volume":"71","author":"Pliner","year":"2018","journal-title":"Mol. Cell"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"1665","DOI":"10.1016\/j.cell.2014.11.021","article-title":"A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping","volume":"159","author":"Rao","year":"2014","journal-title":"Cell"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.cell.2017.09.026","article-title":"Cohesin loss eliminates all loop domains","volume":"171","author":"Rao","year":"2017","journal-title":"Cell"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1186\/1471-2105-12-77","article-title":"pROC: An open-source package for r and s+ to analyze and compare ROC curves","volume":"12","author":"Robin","year":"2011","journal-title":"BMC Bioinformatics"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1093\/bioinformatics\/btl565","article-title":"Predicting transcription factor affinities to DNA from a biophysical model","volume":"23","author":"Roider","year":"2007","journal-title":"Bioinformatics"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1093\/bioinformatics\/bty674","article-title":"On the problem of confounders in modeling gene expression","volume":"35","author":"Schmidt","year":"2019","journal-title":"Bioinformatics"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1093\/nar\/gkw1061","article-title":"Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction","volume":"45","author":"Schmidt","year":"2017","journal-title":"Nucleic Acids Res"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"1608","DOI":"10.1093\/bioinformatics\/bty856","article-title":"TEPIC 2\u2014An extended framework for transcription factor binding prediction and integrative epigenomic analysis","volume":"35","author":"Schmidt","year":"2019","journal-title":"Bioinformatics"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1186\/s13072-020-0327-0","article-title":"Integrative prediction of gene expression with chromatin accessibility and conformation data","volume":"13","author":"Schmidt","year":"2020","journal-title":"Epigenet. Chromatin"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"10397","DOI":"10.1093\/nar\/gkab798","article-title":"Integrative analysis of epigenetics data identifies gene-specific regulatory elements","volume":"49","author":"Schmidt","year":"2021","journal-title":"Nucleic Acids Res"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1038\/s41576-019-0128-0","article-title":"Long-range enhancer\u2013promoter contacts in gene expression control","volume":"20","author":"Schoenfelder","year":"2019","journal-title":"Nat. Rev. Genet"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1038\/s41592-020-0837-5","article-title":"Targeted perturb-seq enables genome-scale genetic screens in single cells","volume":"17","author":"Schraivogel","year":"2020","journal-title":"Nat. Methods"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"3898","DOI":"10.1093\/molbev\/msab085","article-title":"Enhancer pleiotropy, gene expression, and the architecture of human enhancer\u2013gene interactions","volume":"38","author":"Singh","year":"2021","journal-title":"Mol. Biol. Evol"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"pdb.prot5384","DOI":"10.1101\/pdb.prot5384","article-title":"DNase-seq: A high-resolution technique for mapping active gene regulatory elements across the genome from mammalian cells","volume":"2010","author":"Song","year":"2010","journal-title":"Cold Spring Harb. Protoc"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1038\/nature11247","article-title":"An integrated encyclopedia of DNA elements in the human genome","volume":"489","author":"The ENCODE Project Consortium","year":"2012","journal-title":"Nature"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1038\/nature12787","article-title":"An atlas of active enhancers across human cell types and tissues","volume":"507","author":"The FANTOM Consortium","year":"2014","journal-title":"Nature"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.1126\/science.aaz1776","article-title":"The GTEx consortium atlas of genetic regulatory effects across human tissues","volume":"369","author":"The GTEx Consortium","year":"2020","journal-title":"Science"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"2502","DOI":"10.1038\/nprot.2013.150","article-title":"Target analysis by integration of transcriptome and ChIP-seq data with BETA","volume":"8","author":"Wang","year":"2013","journal-title":"Nat. Protoc"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"1114","DOI":"10.1016\/j.ajhg.2016.03.029","article-title":"Efficient integrative multi-SNP association analysis via deterministic approximation of posteriors","volume":"98","author":"Wen","year":"2016","journal-title":"Am. J. Hum. Genet"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"550","DOI":"10.3109\/10409238.2015.1087961","article-title":"Demystifying the secret mission of enhancers: Linking distal regulatory elements to target genes","volume":"50","author":"Yao","year":"2015","journal-title":"Crit. Rev. Biochem. Mol. Biol"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"103468","DOI":"10.1016\/j.isci.2021.103468","article-title":"Interrogating cell type-specific cooperation of transcriptional regulators in 3D chromatin","volume":"24","author":"Yi","year":"2021","journal-title":"iScience"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.coisb.2020.08.002","article-title":"Seven myths of how transcription factors read the cis-regulatory code","volume":"23","author":"Zeitlinger","year":"2020","journal-title":"Curr. Opin. Syst. Biol"},{"key":"2023021603385393600_","doi-asserted-by":"crossref","first-page":"108206","DOI":"10.1016\/j.celrep.2020.108206","article-title":"tagHi-C reveals 3D chromatin architecture dynamics during mouse hematopoiesis","volume":"32","author":"Zhang","year":"2020","journal-title":"Cell Rep"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/advance-article-pdf\/doi\/10.1093\/bioinformatics\/btad062\/48942679\/btad062.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/39\/2\/btad062\/49200105\/btad062.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/39\/2\/btad062\/49200105\/btad062.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T15:52:43Z","timestamp":1679500363000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/doi\/10.1093\/bioinformatics\/btad062\/7008325"}},"subtitle":[],"editor":[{"given":"Valentina","family":"Boeva","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2023,1,27]]},"references-count":58,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,2,3]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btad062","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2022.01.28.478202","asserted-by":"object"}]},"ISSN":["1367-4811"],"issn-type":[{"value":"1367-4811","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023,2,1]]},"published":{"date-parts":[[2023,1,27]]},"article-number":"btad062"}}