Uses multiple tools to identify peaks. SigSeeker works about existing peak comparisons by including peak overlaps of varying minimal width and peak-intensity correlation models. This is done to refine peak predictions in an unsupervised approach. It combines positional and quantitative filtering as part of a peak-calling ensemble. This tool can be used with any peak-calling approach whose input (1) consists of aligned sequencing reads in the BED file format or (2) is in a form that can be converted to BED (e.g. SAM, BAM, ELAND) and that generates peak lists in BED or compatible formats.