Title :
The human imprintome vl.O: Over 120 imprinted genes in the human genome impose a major review on previous censuses
Author :
Silva-Santiago, Samara C. ; Vasconcelos, Elton José R ; Oliveira, D.M. ; Pacheco, Ana Carolina L ; Silva, Mônica F. ; Rocha, Teresa Cristina L ; Brasil, Samyra M V
Author_Institution :
Programa de Pos-Grad. em Biotecnologia - RENORBIO, Univ. Estadual do Ceara - UECE, Fortaleza, Brazil
Abstract :
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-the-linked-human-imprintome).
Keywords :
RNA; biology computing; genetics; genomics; proteins; semantic Web; biological data; comprehensive collection; data hub; epigenome interrogated studies; genomic imprinting; human genome; human imprinted genes; human imprintome analysis; human imprintome v1.0; linked data approaches; linked open data; predicted imprinted genes; semantic Web; structured datasets; Bioinformatics; Fingers; Genomics; Humans; Proteins; RNA; genomic imprinting; imprinted genes; imprintome; linked data; structured datasets;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4673-2559-2
Electronic_ISBN :
978-1-4673-2558-5
DOI :
10.1109/BIBM.2012.6392611