Characterizing chromatin landscape from aggregate and single-cell genomic assays using flexible duration modeling
Most currently available statistical tools for the analysis of ATAC-seq data were repurposed from tools developed for other functional genomics data (e.g. ChIP-seq). Here, Gabitto et al develop ChromA, a Bayesian statistical approach for the analysis of both bulk and single-cell ATAC-seq data.
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2020-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-14497-5 |
| Summary: | Most currently available statistical tools for the analysis of ATAC-seq data were repurposed from tools developed for other functional genomics data (e.g. ChIP-seq). Here, Gabitto et al develop ChromA, a Bayesian statistical approach for the analysis of both bulk and single-cell ATAC-seq data. |
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| ISSN: | 2041-1723 |