Sign in
BioinformaticsbioRxiv
Preprint

ShinyMultiome.UiO: An interactive open-source framework utilizing Seurat Objects for visualizing single-cell Multiomes

Akshay AkshayiD, Ankush SharmaiD, Ragnhild EskelandiD

Abstract

MotivationSingle-cell genomics has been revolutionized by the advent of single-cell Multiome sequencing which allows for simultaneous profiling of chromatin accessibility and gene expression in individual nuclei. The analysis and interpretation of large and often complex scMultiome datasets requires in-depth knowledge of computational programming. ResultsWe present ShinyMultiome.UiO, a user-friendly, integrative, and opensource web-based tool that supports Seurat objects for visualization of single-cell Multiome. The ShinyMultiome.UiO facilitates interactive reporting and comprehensive characterization of cellular heterogeneity and regulatory landscapes. With ShinyMultiome.UiO, users can facilitate collaborative efforts for interpre-tation of single-cell Multiome data and make it available to the public. Availability and implementationhttps://github.com/EskelandLab/ShinyMultiomeUiO and demo server, https://cancell.medisin.uio.no/ShinyMultiome.UiO/ set up with a PBMC reference dataset. ContactAnkush.Sharma@medisin.uio.no & Ragnhild.Eskeland@medisin.uio.no

PDFDOICode

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.