Title: The linked human imprintome v1.0: over 120 genes confirmed as imprinted impose a major review on previous censuses

Authors: 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

Addresses: Programa de Pós-Graduação em Biotecnologia - RENORBIO, Universidade Estadual do Ceará - UECE, Fortaleza, CE, 60740-000, Brazil ' Programa de Pós-Graduação em Biotecnologia - RENORBIO, Universidade Estadual do Ceará - UECE, Fortaleza, CE, 60740-000, Brazil ' Lab. DNA Forense, Perícia Forense do Ceará - PEFOCE, Sec. Segurança Pública e Desenvolvimento Social, Fortaleza, CE, 60010-100, Brazil ' Lab. DNA Forense, Perícia Forense do Ceará - PEFOCE, Sec. Segurança Pública e Desenvolvimento Social, Fortaleza, CE, 60010-100, Brazil ' Unidade Acadêmica de Ciências Biológicas e Nutrição, Universidade Federal do Piauí - UFPI, Campus Senador Helvídio Nunes de Barros, Rua Cícero Eduardo, 905, Picos, PI, 64600-000, Brazil ' Unidade Acadêmica de Ciências Biológicas e Nutrição, Universidade Federal do Piauí - UFPI, Campus Senador Helvídio Nunes de Barros, Rua Cícero Eduardo, 905, Picos, PI, 64600-000, Brazil ' Empresa de Tecnologia e Informações da Previdência Social - Dataprev, Unidade de Desenvolvimento de Software Ceará, Fortaleza, CE, 60150-161, Brazil ' Programa de Pós-Graduação em Biotecnologia - RENORBIO, Universidade Estadual do Ceará - UECE, Fortaleza, CE, 60740-000, Brazil ' Programa de Pós-Graduação em Biotecnologia - RENORBIO, Universidade Estadual do Ceará - UECE, Fortaleza, CE, 60740-000, Brazil

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).

Keywords: human imprinted genes; imprintome; linked data; structured datasets; genomic imprinting; in silico analyses; structured datasets; predicted genes; monoallelic expression; epigenome; bioinformatics; semantic web; human genome.

DOI: 10.1504/IJDMB.2014.064547

International Journal of Data Mining and Bioinformatics, 2014 Vol.10 No.3, pp.329 - 356

Received: 23 Apr 2013
Accepted: 03 Jun 2013

Published online: 21 Oct 2014 *

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