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ABSTRACT: 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 generally 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 an application that can streamline collaborative efforts for interpretation of massive chromatin accessibility datasets and allow for open access data sharing for wider audiences.Availability
https://Github.com/EskelandLab/ShinyArchRUiO and a demo server with a haematopoietic tutorial dataset https://cancell.medisin.uio.no/ShinyArchR.UiO.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Sharma A
PROVIDER: S-EPMC8756194 | biostudies-literature |
REPOSITORIES: biostudies-literature