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dc.contributor.authorHammelman, Jennifer
dc.contributor.authorKrismer, Konstantin
dc.contributor.authorGifford, David K
dc.date.accessioned2022-06-28T13:59:07Z
dc.date.available2022-06-28T13:59:07Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/143574
dc.description.abstract<jats:title>Abstract</jats:title> <jats:p>Genomic interactions provide important context to our understanding of the state of the genome. One question is whether specific transcription factor interactions give rise to genome organization. We introduce spatzie, an R package and a website that implements statistical tests for significant transcription factor motif cooperativity between enhancer–promoter interactions. We conducted controlled experiments under realistic simulated data from ChIP-seq to confirm spatzie is capable of discovering co-enriched motif interactions even in noisy conditions. We then use spatzie to investigate cell type specific transcription factor cooperativity within recent human ChIA-PET enhancer–promoter interaction data. The method is available online at https://spatzie.mit.edu.</jats:p>en_US
dc.language.isoen
dc.publisherOxford University Press (OUP)en_US
dc.relation.isversionof10.1093/NAR/GKAC036en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNucleic Acids Researchen_US
dc.titlespatzie: an R package for identifying significant transcription factor motif co-enrichment from enhancer–promoter interactionsen_US
dc.typeArticleen_US
dc.identifier.citationHammelman, Jennifer, Krismer, Konstantin and Gifford, David K. 2022. "spatzie: an R package for identifying significant transcription factor motif co-enrichment from enhancer–promoter interactions." Nucleic Acids Research, 50 (9).
dc.contributor.departmentMassachusetts Institute of Technology. Computational and Systems Biology Program
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.relation.journalNucleic Acids Researchen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-06-28T13:51:34Z
dspace.orderedauthorsHammelman, J; Krismer, K; Gifford, DKen_US
dspace.date.submission2022-06-28T13:51:36Z
mit.journal.volume50en_US
mit.journal.issue9en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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