VisHiC--hierarchical functional enrichment analysis of microarray data.

ABSTRACT: Measuring gene expression levels with microarrays is one of the key technologies of modern genomics. Clustering of microarray data is an important application, as genes with similar expression profiles may be regulated by common pathways and involved in related functions. Gene Ontology (GO) analysis and visualization allows researchers to study the biological context of discovered clusters and characterize genes with previously unknown functions. We present VisHiC (Visualization of Hierarchical Clustering), a web server for clustering and compact visualization of gene expression data combined with automated function enrichment analysis. The main output of the analysis is a dendrogram and visual heatmap of the expression matrix that highlights biologically relevant clusters based on enriche

SUBMITTER: Krushevskaya D 

PROVIDER: S-EPMC2703939 | biostudies-literature | 2009 Jul

REPOSITORIES: biostudies-literature