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Quickomics: exploring omics data in an intuitive, interactive and informative manner

Benbo Gao, Jing Zhu, Soumya Negi, Xinmin Zhang, Stefka Gyoneva, Fergal Casey, Ru Wei, Baohong Zhang

2021Bioinformatics16 citationsDOI

Abstract

SUMMARY: We developed Quickomics, a feature-rich R Shiny-powered tool to enable biologists to fully explore complex omics statistical analysis results and perform advanced analysis in an easy-to-use interactive interface. It covers a broad range of secondary and tertiary analytical tasks after primary analysis of omics data is completed. Each functional module is equipped with customizable options and generates both interactive and publication-ready plots to uncover biological insights from data. The modular design makes the tool extensible with ease. AVAILABILITY AND IMPLEMENTATION: Researchers can experience the functionalities with their own data or demo RNA-Seq and proteomics datasets by using the app hosted at http://quickomics.bxgenomics.com and following the tutorial, https://bit.ly/3rXIyhL. The source code under GPLv3 license is provided at https://github.com/interactivereport/Quickomics for local installation. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Topics & Concepts

Computer scienceData scienceComputational biologyBiologyGene expression and cancer classificationAdvanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks
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