Nucleic Acids ResearchBioinformaticsPeer-reviewed journal article
spatzie: An R package for identifying significant transcription factor motif co-enrichment from enhancer-promoter interactions
Jennifer HammelmaniD, Konstantin KrismeriD, David Kenneth GiffordiD
Abstract
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.
- organism: human
- assay: ChIP-seq
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 2
- FWCI
- 0.16
- Field percentile
- 33th percentile
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Hundreds of motif pairs may facilitate enhancer-promoter interactions
Saidi Wang, Haiyan Hu, Xiaoman Li·bioRxiv·Dec 29, 2020
- FitHiChIP: Identification of significant chromatin contacts from HiChIP data
Sourya Bhattacharyya, Vivek Kumar Chandra, … Ferhat Ay·Nature CommunicationsPeer-reviewed·Sep 17, 2019
- Discovery of directional chromatin-associated regulatory motifs affecting human gene transcription
Naoki Osato·bioRxiv·Oct 6, 2020
- Detection Of Cooperatively Bound Transcription Factor Pairs Using ChIP-seq Peak Intensities And Expectation Maximization
Vishaka Datta, Rahul Siddharthan, Sandeep Krishna·PLoS ONEPeer-reviewed·Jul 17, 2018
- TFEA.ChIP: A tool kit for transcription factor binding site enrichment analysis capitalizing on ChIP-seq datasets
Laura Puente-Santamaría, Wyeth W. Wasserman, Luis del Peso·BioinformaticsPeer-reviewed·Jul 24, 2019
- HIPPIE2: a method for fine-scale identification of physically interacting chromatin regions
Pavel P. Kuksa, Alexandre Amlie‐Wolf, … Li‐San Wang·NAR Genomics and BioinformaticsPeer-reviewed·Mar 31, 2020