gcExplorer: interactive exploration of gene clusters.
Where this comes from
- Record sourced from PubMed, PMID 19225024.
- Also identified by DOI 10.1093/bioinformatics/btp099.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Cluster analysis plays an important role in the analysis of gene expression data since the early beginning of microarray studies and is routinely used to find groups of genes with common expression pattern. In order to make cluster analysis helpful for users, visualization of cluster solutions is of utmost importance. Here, we present the new R package gcExplorer for the interactive exploration of gene clusters. gcExplorer facilitates the interpretation of cluster results and allows to investigate extensive information about clusters.
Medical subject headings
- Computational Biology
- Multigene Family
- Software