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BioinformaticsBioinformatics
Peer-reviewed journal article

ShinyArchR.UiO: User-friendly, integrative and open-source tool for visualisation of single-cell ATAC-seq data using ArchR

Ankush SharmaiD, Akshay AkshayiD, Marie RogneiD, Ragnhild EskelandiD

Abstract

MotivationMapping 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. ResultsWe 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 implementationShinyArchR.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.UiO ContactAnkush.Sharma@medisin.uio.no & Ragnhild.Eskeland@medisin.uio.no

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02 /Specification & Classification

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