chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data.

Nat Methods
Authors
Keywords
Abstract

Single-cell ATAC-seq (scATAC) yields sparse data that make conventional analysis 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 characterization of known and de novo sequence motifs associated with variation in chromatin accessibility.

Year of Publication
2017
Journal
Nat Methods
Volume
14
Issue
10
Pages
975-978
Date Published
2017 Oct
ISSN
1548-7105
DOI
10.1038/nmeth.4401
PubMed ID
28825706
PubMed Central ID
PMC5623146
Links
Grant list
U19 AI057266 / AI / NIAID NIH HHS / United States
P50 HG007735 / HG / NHGRI NIH HHS / United States
T32 HG000044 / HG / NHGRI NIH HHS / United States
UM1 HG009436 / HG / NHGRI NIH HHS / United States
R01 GM111990 / GM / NIGMS NIH HHS / United States