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

Author:

Gao Benbo1,Zhu Jing1ORCID,Negi Soumya1,Zhang Xinmin2,Gyoneva Stefka1,Casey Fergal1ORCID,Wei Ru1,Zhang Baohong1ORCID

Affiliation:

1. Research and Development, Biogen Inc, Cambridge, MA 02142, USA

2. Data Science, BioInfoRx Inc, Madison, WI 53719, USA

Abstract

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.

Funder

BioInfoRx, Inc

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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