Schep, Alicia N.Wu, BeijingBuenrostro, JasonGreenleaf, William J.2018-03-202017Schep, Alicia N., Beijing Wu, Jason D. Buenrostro, and William J. Greenleaf. 2017. “chromVAR: Inferring transcription factor-associated accessibility from single-cell epigenomic data.” Nature methods 14 (10): 975-978. doi:10.1038/nmeth.4401. http://dx.doi.org/10.1038/nmeth.4401.http://nrs.harvard.edu/urn-3:HUL.InstRepos:35015077Single cell ATAC-seq (scATAC) yields sparse data that makes application of conventional analysis approaches challenging. We developed chromVAR, an R package for analyzing sparse chromatin accessibility data by estimating gain or loss of accessibility within peaks sharing the same motif or annotation while controlling for technical biases. chromVAR enables accurate clustering of scATAC-seq profiles and enables characterization of known and de novo sequence motifs associated with variation in chromatin accessibility.en-USJournal Article2018-03-2010.1038/nmeth.4401