EpiGRAPH: A Toolkit for (Epi-) Genomic Relationship Analysis and Prediction in Human

A new research field in computational biology is currently emerging that is concerned with the analysis of functional information beyond the human genome sequence. Our goal is to provide biologists with a toolkit to navigate the large amounts of epigenetic data and to screen these data for biologically interesting associations. We developed a statistical learning toolkit that facilitates mapping of epigenetic data against the human genome, identifies areas of over- and underrepresentation, and finds significant correlations with DNA-related attributes.
EpiGRAPH is a prototype of a genome analysis tool that enables the user to analyze relationships between many attributes, and it provides a quick test whether a newly analyzed attribute can be efficiently predicted from already known attributes. Thereby, EpiGRAPH may significantly speed up the analysis of new types of genomic and epigenomic data.