Published September 23, 2021
| Version v1
Dataset
Open
Single cell ATAC-seq Mouse Kidney Data: Chromatin-accessibility estimation from single-cell ATAC data with scOpen
Authors/Creators
- 1. Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, 52074 Aachen, Germany
- 2. Institute of Experimental Medicine and Systems Biology, RWTH Aachen University Medical School, 52074 Aachen, Germany, Division of Nephrology and Clinical Immunology, RWTH Aachen University, 52074 Aachen, Germany
- 3. Institute of Experimental Medicine and Systems Biology, RWTH Aachen University Medical School, 52074 Aachen, Germany
- 4. Division of Nephrology and Clinical Immunology, RWTH Aachen University, 52074 Aachen, Germany
- 5. Department of Cell Biology, Institute of Biomedical Engineering, RWTH Aachen University Medical School, Aachen, 52074, Germany; Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany
- 6. Institute of Experimental Medicine and Systems Biology, RWTH Aachen University Medical School, 52074 Aachen, Germany; Division of Nephrology and Clinical Immunology, RWTH Aachen University, 52074 Aachen, Germany; Department of Internal Medicine, Nephrology and Transplantation, Erasmus Medical Center, 3015GD Rotterdam, The Netherlands
Contributors
Contact person:
- 1. Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University Medical School, 52074 Aachen, Germany
Description
We provide results regarding the bioinformatic analysis of scATAC-seq from mouse UUO kidney at different time points.