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F1000Res. 2015 Jun 24;4:167. doi: 10.12688/f1000research.6644.1. eCollection 2015.

Constellation Map: Downstream visualization and interpretation of gene set enrichment results.

Author information

1
Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
2
Bioinformatics Program, Boston University, Boston, MA, 02215, USA.
3
Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, 02215, USA.
4
Division of Hematology/Oncology, Children's Hospital, Harvard Medical School, Boston, MA, 02215, USA.
#
Contributed equally

Abstract

Gene set enrichment analysis (GSEA) approaches are widely used to identify coordinately regulated genes associated with phenotypes of interest. Here, we present Constellation Map, a tool to visualize and interpret the results when enrichment analyses yield a long list of significantly enriched gene sets. Constellation Map identifies commonalities that explain the enrichment of multiple top-scoring gene sets and maps the relationships between them. Constellation Map can help investigators take full advantage of GSEA and facilitates the biological interpretation of enrichment results.

AVAILABILITY:

Constellation Map is freely available as a GenePattern module at http://www.genepattern.org.

KEYWORDS:

GSEA; gene expression; gene set enrichment analysis; mutual information; pathway; signature; visualization

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