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Related Experiment Video

Updated: Jan 17, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

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Published on: May 17, 2019

UALCAN Mobile, an app for cancer proteogenomic data analysis.

David Rubey¹, Darshan Shimoga Chandrashekar², Ahmedur Rahman Shovon³

¹Department of Computer Science, University of Alabama at Birmingham, Birmingham, AL 35294, USA.

Biorxiv : the Preprint Server for Biology

|September 15, 2025

Summary

The UALCAN mobile app offers accessible cancer data analysis for researchers, enabling biomarker discovery on the go. This tool provides gene expression and proteomic data from The Cancer Genome Atlas (TCGA) and other sources.

Keywords:

app cancer data analysis gene expression

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Published on: October 18, 2013

Area of Science:

Oncology
Bioinformatics
Genomics

Background:

Cancer involves complex genomic and proteomic alterations during progression and metastasis.
Large-scale molecular data (genomics, transcriptomics) offers potential for biomarker and target identification.
User-friendly tools are needed for accessible analysis and visualization of cancer data for researchers without programming skills.

Purpose of the Study:

To introduce the UALCAN Mobile application, an extension of the UALCAN platform.
To provide mobile access to comprehensive cancer molecular datasets for biomarker and therapeutic target discovery.

Main Methods:

Development of a mobile application integrating The Cancer Genome Atlas (TCGA) transcriptomic data.
Inclusion of data analysis options for DNA promoter methylation and Clinical Proteomic Tumor Analysis Consortium (CPTAC) proteomic data.
Stratification of gene expression analysis by cancer stage, grade, race, gender, and molecular subtypes across over 30 cancer types.

Main Results:

The UALCAN Mobile app provides on-the-go access to extensive cancer molecular datasets.
Enables evaluation of protein-coding gene expression and epigenetic changes.
Facilitates identification of potential biomarkers and therapeutic targets through data stratification.

Conclusions:

The UALCAN Mobile app is a valuable tool for cancer researchers, offering accessible data analysis for biomarker and therapeutic target identification.
The app supports data-driven discoveries by providing insights into gene and protein expression changes.
Available on iOS and Android, the app has seen significant initial adoption.