What is it about?

Scientists have developed a user-friendly online tool called IRIS-EDA that helps researchers analyze and understand large amounts of gene data. This tool makes it easier for researchers to study how genes work in different conditions or cell types. By offering a wide range of analysis options and visualization tools, IRIS-EDA helps researchers design experiments, identify important factors in gene expression, and make sense of their findings. Additionally, the tool makes it easy to share data with other scientists by following the FAIR Data Principles. IRIS-EDA is free to use and can be accessed at https://bmbls.bmi.osumc.edu/IRIS/

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Why is it important?

IRIS-EDA addresses challenges faced by researchers who have limited computational experience when analyzing large amounts of gene expression data. It offers a user-friendly platform that simplifies the analysis process and provides interactive visualizations to help users understand their results. IRIS-EDA is more comprehensive and versatile than other tools, offering single-cell and bulk RNA-Seq analysis capabilities, compatibility with data-sharing platforms like GEO, and a range of analysis options. By making gene expression analysis more accessible and efficient, IRIS-EDA can help researchers better understand biological systems and develop strategies to prevent or treat diseases.


IRIS-EDA could significantly streamline the process of analyzing large amounts of gene expression data and allow researchers with limited computational experience to perform complex analyses. With its comprehensive features, user-friendly platform, and interactive visualizations, IRIS-EDA can help researchers from various backgrounds to better understand biological systems and contribute to the development of strategies to prevent or treat diseases.

Cankun Wang
Ohio State University

Read the Original

This page is a summary of: IRIS-EDA: An integrated RNA-Seq interpretation system for gene expression data analysis, PLoS Computational Biology, February 2019, PLOS, DOI: 10.1371/journal.pcbi.1006792.
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