StRAP: an integrated resource for profiling high-throughput cancer genomic data from stress response studies

Area of Science:

• Genomics
• Bioinformatics
• Cancer Research

Background:

• DNA microarray technology has advanced cancer profiling for biomarker discovery and treatment response prediction.
• Integrating and querying diverse cancer genomic data presents significant challenges.

Purpose of the Study:

• To introduce the Stress Response Array Profiler (StRAP), an open-source web resource.
• To facilitate storage, profiling, visualization, and sharing of cancer genomic data.
• To enable comparative analysis and cross-validation of multiple cancer profiling studies.

Main Methods:

• Developed StRAP, a web-based resource for cancer genomic data.
• Integrated multi-cancer microarray data, focusing on radiotherapy studies.
• Employed a systems biology approach for data integration and analysis.
• Provided interactive visualization tools for data exploration and query results.

Main Results:

• StRAP offers a comprehensive platform for comparative gene expression analysis.
• The resource supports the integration and comparison of multiple cancer profiling studies.
• User-friendly visualization tools enhance data accessibility and interpretation.

Conclusions:

• StRAP addresses the challenge of compiling and querying complex cancer genomic data.
• This open-source resource promotes a systems biology approach for cancer research.
• StRAP is freely accessible and platform-independent, supporting biomarker discovery and treatment response prediction.