The whole set of human imprinted genes, termed imprintome, is here analysed by means of a reasonable, valid application of the Semantic Web and Linked Data approaches to a few structured datasets in order to provide a comprehensive collection of imprinted genes in the human genome. Thus, we have stored, organised, filtered, and analysed massive amounts of existing data on human imprinted genes towards compiling, structuring and linking data to comprise a sharing resource for genome and epigenome interrogated studies. Our datasets of linked data are the actual research outcome of this human imprintome analysis because as genomics become more and more data intensive, due to huge amounts of biological data, so does our needs for more structured data to be easier mined and shared. We present the resulting first version of the Linked Human Imprintome as a project within Linked Open Data (LOD) initiative (http://lod-cloud.net/) through Data Hub (http:// thedatahub.org/en/dataset/a-draft-version-of-the-linked-human-imprintome).

A relatively small number of human genes are marked with their parental origin and undergo a process termed "genomic imprinting", which, as a field of study, has grown rapidly in the last 20 years, with a growing figure of around 100 imprinted genes known in the mouse and approximately 120 in the human to comprise the updated whole set of human imprinted genes, the imprintome. Human imprintome is here analyzed by means of a reasonable, valid application of the Semantic Web and Linked Data approaches to a few structured datasets in order to provide a comprehensive collection of all known and predicted imprinted genes in the human genome. We have examined, compiled, structured and linked data to use them as a sharing resource for genome and epigenome interrogated studies regarding imprinted genes. Moreover, we offer our datasets of structured, linked data as being the actual research outcome of this human imprintome analysis because as genomics become more and more data intensive, due to huge amounts of biological data, so does our needs for more structured data to be easier mined and shared. The resulting version of the Linked Human Imprintome is a project within Linked Open Data (LOD) initiative (http://lod-cloud.net/) through Data Hub (http://thedatahub.org/en/dataset/a-draft-version-of-thelinked-human-imprintome).

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