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Updated: Jun 29, 2025

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
Published on: July 29, 2022
shinyExprPortal: a configurable 'shiny' portal for sharing analysis of molecular expression data
Rafael Henkin1,2, Katriona Goldmann3,4, Myles Lewis1,3
1Centre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, United Kingdom.
Motivation:
The scale of omics research presents many obstacles to full sharing and access to analysis results. Current publication models impose limits on the number of pages and figures, requiring careful preparation and selection of content. At the same time, depositing data in open repositories significantly shifts the burden of access and reproduction to readers, who may include people who are not programmers or analysts.
Results:
We introduce shinyExprPortal, an R package that implements omics web portals with minimal coding effort. The portals allow exploration of transcriptomic or proteomic expression data and phenotypes, showcasing results of various types of analysis including differential expression, co-expression and pathways analysis. The integration with bioinformatics workflows enables researchers to focus on their results and share findings using interactive and publication-quality plots.
Availability And Implementation:
The shinyExprPortal package is available to download and install from CRAN and https://github.com/C4TB/shinyExprPortal.
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