chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data.
Nat Methods
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| 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
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| Journal | Nat Methods
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| Volume | 14
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| Issue | 10
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| Pages | 975-978
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| Date Published | 2017 Oct
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| ISSN | 1548-7105
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| DOI | 10.1038/nmeth.4401
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| PubMed ID | 28825706
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| PubMed Central ID | PMC5623146
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| 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
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