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Updated: Feb 24, 2026

Formaldehyde-assisted Isolation of Regulatory Elements to Measure Chromatin Accessibility in Mammalian Cells
Published on: April 2, 2018
chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data
Alicia N Schep1,2, Beijing Wu1,2, Jason D Buenrostro3,4
1Department of Genetics, Stanford University School of Medicine, Stanford, California, USA.
Abstract:
Single-cell ATAC-seq (scATAC) yields sparse data that make conventional analysis challenging. We developed chromVAR (http://www.github.com/GreenleafLab/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 characterization of known and de novo sequence motifs associated with variation in chromatin accessibility.
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