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GEDS: A Gene Expression Display Server for mRNAs, miRNAs and Proteins
Mengxuan Xia1, Chun-Jie Liu1, Qiong Zhang1
1Department of Bioinformatics and Systems Biology, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Hubei, Wuhan 430074, China.
Cells
|July 7, 2019
Summary
A new web tool, the Gene Expression Display Server (GEDS), simplifies the exploration of large gene expression datasets. It provides user-friendly visualization of mRNA, miRNA, and protein data from various tissues and cell lines.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- High-throughput technologies generate vast amounts of gene expression data (mRNA, miRNA, protein).
- Analyzing and visualizing this big data requires advanced computational expertise, posing a challenge for many biologists.
- A user-friendly platform is needed to facilitate gene expression data exploration and hypothesis generation.
Purpose of the Study:
- To develop and present the Gene Expression Display Server (GEDS), a web-based tool for simplifying gene expression data analysis.
- To integrate and normalize diverse gene expression datasets from multiple sources.
- To provide intuitive visualization and comparison capabilities for researchers.
Main Methods:
- Curated and normalized gene expression data for mRNA, miRNA, and protein levels from TCGA, GETx, CCLE, and MCLP.
- Developed GEDS, a web server integrating multiscale expression data.
- Implemented multiple visualization types and data comparison features.
Main Results:
- GEDS provides comprehensive gene expression profiles across 40 tissues and 1594 cell lines.
- The platform integrates data from 23,315 mRNA, 9,009 miRNA, and 9,244 protein samples.
- Offers various figures and tables for data exploration and analysis.
Conclusions:
- GEDS serves as a one-stop platform for biologists to access and analyze big gene expression data.
- The tool facilitates better experimental design and data interpretation for researchers.
- GEDS is freely available, promoting wider accessibility to gene expression data analysis.
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