ICBP Data & Analysis Portal (ICBP)

The ICBP Data and Analysis Portal serves as an information hub of the ICBP program enabling resource sharing, annotation, and data integration and analysis. The portal provides access to datasets, analysis tools, visualizations, and other resources produced by the ICBP Centers for Cancer Systems Biology.

Development of the ICBP Data and Analysis Portal was performed by the Broad Institute on behalf of the ICBP.

News / Events

New User?

Please register for full access to the data and analyses tools ICBP provides.

Terms of Access   Register

Tutorials / Manuals

Tutorials, analysis descriptions and other documentation is available at:


Integrated analysis of breast cancer cell lines reveals unique signaling pathways,  Heiser LM et al., Genome Biology, 2009

Trait variability of cancer cells quantified by high-content automated microscopy of single cells. ,  Quaranta V et al., Methods in Enzymology, 2010

Migration of isogenic cell lines quantified by dynamic multivariate analysis of single-cell motility. ,  Harris MP et al., Cell Adhesion & Migration, 2008

All Publications

What you can do on this portal

Search for information

Enter a keyword to search for genes, news items and publications. Search results for a gene include links to annotations and analyses.

Data Sets

Browse, analyze and download studies and data sets.


Public Data:

Studies: 9
Samples: 1457
Data Sets: 33

  Affy SNP: 3
  Segmented copy number: 1
  Sample annotation: 10
  Protein lysate array: 1
  Exon array: 1
  Cell Motility: 3
  Gene expression: 7
  Agilent aCGH: 1
  RNAi enrichment: 1
  ChIP-Chip: 1
  Exon-exon: 1
  MeDIP-Chip: 1
  GISTIC Results: 1
  Undefined: 2

Analysis Tools

The portal provides the following analysis tools:

Integrative Genomics Viewer (IGV)
Visualize a data set in the Integrative Genomics Viewer (IGV), a high-performance visualization tool for interactive exploration of large integrated data sets.

Differential Expression Analysis
Find genes that are significantly differentially expressed between two user-defined classes of samples from an expression data set available on this portal.

Gene co-expression
View the top 20 genes in a data set that are co-expressed with a gene of interest.

Gene Set Enrichment Analysis (GSEA)
Find pathway gene sets correlated with a gene of interest. Domain experts curate the pathway gene sets based on data from several online pathway databases.


Sample Sets

Create your own sample sets based on a large number of available criteria and use them in differential expression analysis.