Journal article

ggVolcanoR: A Shiny app for customizable visualization of differential expression datasets

Kerry A Mullan, Liesl M Bramberger, Prithvi Raj Munday, Gabriel Goncalves, Jerico Revote, Nicole A Mifsud, Patricia T Illing, Alison Anderson, Patrick Kwan, Anthony W Purcell, Chen Li

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL | ELSEVIER | Published : 2021

Abstract

Volcano and other analytical plots (e.g., correlation plots, upset plots, and heatmaps) serve as important data visualization methods for transcriptomic and proteomic analyses. Customizable generation of these plots is fundamentally important for a better understanding of dysregulated expression data and is therefore instrumental for the ensuing pathway analysis and biomarker identification. Here, we present an R-based Shiny application, termed ggVolcanoR, to allow for customizable generation and visualization of volcano plots, correlation plots, upset plots, and heatmaps for differential expression datasets, via a user-friendly interactive interface in both local executable version and web-..

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Grants

Awarded by National Health and Medicine Research Council of Australia (NHMRC)


Awarded by NHMRC CJ Martin Early Career Research Fellowship


Awarded by Medical Research Future Fund Practitioner Fellowship


Awarded by NHMRC Principal Research Fellowship


Funding Acknowledgements

This work has been financially supported by a National Health and Medicine Research Council of Australia (NHMRC) Project Grant to A.W.P. (1122099). K.A.M. is supported by an Australian Government Research Training Program (RTP) Scholarship. C.L. is currently supported by an NHMRC CJ Martin Early Career Research Fellowship (1143366). P.K. is supported by a Medical Research Future Fund Practitioner Fellowship (MRF1136427). A.W.P. is supported by an NHMRC Principal Research Fellowship (1137739).