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ShinyArchR.UiO: User-friendly, integrative and open-source tool for visualisation of single-cell ATAC-seq data using ArchR
View ORCID ProfileAnkush Sharma, Akshay Akshay, View ORCID ProfileMarie Rogne, View ORCID ProfileRagnhild Eskeland
doi: https://doi.org/10.1101/2021.06.21.449316
Ankush Sharma
1Department of Biosciences, University of Oslo, Norway
2Department of Informatics, University of Oslo, Norway
4Institute of Basic Medical Sciences, Department of Molecular Medicine, University of Oslo, Norway
5PharmaTox Strategic Research Initiative, Faculty of Mathematics and Natural Sciences, University of Oslo, Norway
6Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Norway
Akshay Akshay
3Urology Research Laboratory, Department for BioMedical Research DBMR, University of Bern, Bern, Switzerland
Marie Rogne
4Institute of Basic Medical Sciences, Department of Molecular Medicine, University of Oslo, Norway
6Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Norway
Ragnhild Eskeland
4Institute of Basic Medical Sciences, Department of Molecular Medicine, University of Oslo, Norway
5PharmaTox Strategic Research Initiative, Faculty of Mathematics and Natural Sciences, University of Oslo, Norway
6Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Norway
Posted August 02, 2021.
ShinyArchR.UiO: User-friendly, integrative and open-source tool for visualisation of single-cell ATAC-seq data using ArchR
Ankush Sharma, Akshay Akshay, Marie Rogne, Ragnhild Eskeland
bioRxiv 2021.06.21.449316; doi: https://doi.org/10.1101/2021.06.21.449316
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