• By Capability
  • Biobanking Management
  • Bioinformatics Support
  • Clinical Trials Data Integration
  • Clinical Trials Management
  • Data Access
  • Microarray Data Analysis
  • Proteomics Analysis
  • Radiology/Pathology Imaging Support
  • Sequence Analysis
  • Software Development
  • Other Cancer Research Capabilities
• By Profession
  • Biobank Managers
  • Bioinformaticians
  • Cancer Biologists
  • Clinical Researchers
  • Radiologists and Pathologists

Microarray Data Analysis

What would you like to do?

Collect, annotate, manage, and share your own microarray data

Collect and manage microarray data

Annotate microarray data

Share microarray data locally or publicly

Download microarray data from other studies

Access microarray-based gene expression data, images, SNPs, and patient outcome data from multiple studies
(Available through NCI-hosted instance of caIntegrator)

Access microarray gene expression data across a variety of cancers
(Available through NCI-hosted instance of caArray)

Prepare microarray data for analysis

Pre-process microarray data
(Available through Bioconductor)

Pre-process microarray data to reduce noise and artifacts
(Available through caCorrect)

Conduct analysis of your own microarray data

Determine gene copy number

Identify differentially expressed genes as potential biomarkers

Visualize, cluster, and analyze gene expression data

Conduct in silico research

Create multi-step analysis pipelines that enable in silico research

Correlate genomic and expression data with outcomes using analytical tools from the NCI-hosted instance of caIntegrator and data from The Cancer Genome Atlas (TCGA), Therapeutically Applicable Research to Generate Effective Treatments (TARGET), Repository for Molecular Brain Neoplasia Data (REMBRANDT), the Director's Challenge Lung Cancer Study, and the CoCaNUT colon cancer study.

Examine gene and chromosomal information, analyze expression data, and correlate this information with clinical outcomes data from The Cancer Genome Atlas (TCGA), Repository for Molecular Brain Neoplasia Data (REMBRANDT), and Therapeutically Applicable Research to Generate Effective Treatments (TARGET) programs using the caBIG^® Molecular Analysis Portal (CMA).

Examine gene expression, gene copy number data, and clinical outcomes from glioma patients using the Repository for Molecular Brain Neoplasia Data (REMBRANDT).