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Quickomics: exploring omics data in an intuitive, interactive and informative manner
Author(s) -
Benbo Gao,
Jing Zhu,
Soumya Negi,
Xinmin Zhang,
Stefka Gyoneva,
Fergal Casey,
Ru Wei,
Baohong Zhang
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab255
Subject(s) - computer science , data science , computational biology , biology
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.

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