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. 2020 Nov 11;11:5702. doi: 10.1038/s41467-020-19542-x

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — Users upload single-cell epigenomic data formatted as count matrices, single-cell BAM or single-cell BED files to start the analysis. The application includes Quality Control (QC), Classification and Interpretation tools. The user can save plots and tables in png, pdf, or csv formats, and R analysis objects in RData format.