ClusTrack: feature extraction and similarity measures for clustering of genome-wide data sets.
Clustering is a popular technique for explorative analysis of data, as it can reveal subgroupings and similarities between data in an unsupervised manner.While clustering is routinely applied to gene expression data, there is a lack of appropriate general methodology for clustering of sequence-level genomic and epigenomic data, e.g.ChIP-based data.