PT  - JOURNAL ARTICLE
AU  - Sharma, Ankush
AU  - Akshay, Akshay
AU  - Rogne, Marie
AU  - Eskeland, Ragnhild
TI  - ShinyArchR.UiO: User-friendly, integrative and open-source tool for visualisation of single-cell ATAC-seq data using ArchR
AID  - 10.1101/2021.06.21.449316
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.06.21.449316
4099  - http://biorxiv.org/content/early/2021/08/02/2021.06.21.449316.short
4100  - http://biorxiv.org/content/early/2021/08/02/2021.06.21.449316.full
AB  - Motivation Mapping of chromatin accessibility landscapes in single-cells and the integration with gene expression enables a better understanding of gene regulatory mechanisms defining cell identities and cell-fate determination in development and disease. Generally, raw data generated from single-cell Assay for Transposase-Accessible Chromatin sequencing (scATAC-seq) are deposited in repositories that are inaccessible due to lack of in-depth knowledge of computational programming.Results We have developed ShinyArchR.UiO, an R-based shiny app, that facilitates scATAC-seq data accessibility and visualisation in a user-friendly, interactive, and open-source web interface. ShinyArchR.UiO is a tool that can streamline collaborative efforts for interpretation of massive chromatin accessible data and promotes open access data sharing for wider audiences.Availability and implementation ShinyArchR.UiO is available at https://Github.com/EskelandLab/ShinyArchRUiO and a demo server set up with a haematopoietic tutorial dataset: https://cancell.medisin.uio.no/ShinyArchR.UiOContact Ankush.Sharma{at}medisin.uio.no & Ragnhild.Eskeland{at}medisin.uio.noCompeting Interest StatementThe authors have declared no competing interest.