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GE-mini: a mobile APP for large-scale gene expression visualization
Author(s) -
Zefang Tang,
Chenwei Li,
Karena Zhang,
Mingyu Yang,
Xueda Hu
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw775
Subject(s) - computer science , visualization , app store , android (operating system) , download , mobile apps , world wide web , data mining , operating system
The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) projects produced large-scale RNA sequencing data, which provides an opportunity for performing integrated expression analysis for all genes across tens of thousands of tumor and normal tissue specimens. Rapid access to and easy visualization of such valuable data could facilitate research in a wide biological area. Here, we present the GE-mini APP for smart phones, a mobile visualization tool for integrated gene expression data based on both TCGA and GTEx. This gene-centric expression viewer provides a convenient method for displaying expression profiles of all available tumor and tissue types, while allowing drilling down to detailed views for specific tissue types.

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