EpiScanpy: integrated single-cell epigenomic analysis
The authors present epiScanpy: a computational framework for the analysis of single-cell epigenomic data, both ATAC-seq and DNA methylation data, with examples for clustering, cell type identification, trajectory learning and atlas integration - and show its performance in distinguishing cell types.
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| Main Authors: | , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/080e8714432f46029536734062f84ff2 |
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