| Literature DB >> 25946867 |
Samara Cardoso Da Silva-Santiago, Christina Pacheco, Tereza Cristina Lima Rocha, Samyra Maria Vieira Brasil, Ana Carolina Landim Pacheco, Mônica Moraes Silva, Fabiana Freire Araújo, Elton José Rosas De Vasconcelos, Diana Magalhães De Oliveira.
Abstract
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).Entities:
Mesh:
Year: 2014 PMID: 25946867 DOI: 10.1504/ijdmb.2014.064547
Source DB: PubMed Journal: Int J Data Min Bioinform ISSN: 1748-5673 Impact factor: 0.667