CpGislandEVO: A Database and Genome Browser for Comparative Evolutionary Genomics of CpG Islands.

Hypomethylated, CpG-rich DNA segments (CpG islands, CGIs) are epigenome markers involved in key biological processes. Aberrant methylation is implicated in the appearance of several disorders as cancer, immunodeficiency, or centromere instability. Furthermore, methylation differences at promoter reg...

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Publicado en:BioMed Research International Vol. 2013; pp. 709042 - 709043
Autores principales: Barturen, Guillermo, Geisen, Stefanie, Dios, Francisco, Hamberg, E J Maarten, Hackenberg, Michael, Oliver, José L
Formato: Journal Article
Publicado: Wiley-Blackwell 2013
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Wiley-Blackwell
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        atl: CpGislandEVO: A Database and Genome Browser for Comparative Evolutionary Genomics of CpG Islands.
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          Barturen, Guillermo
          Geisen, Stefanie
          Dios, Francisco
          Hamberg, E J Maarten
          Hackenberg, Michael
          Oliver, José L
        affil: Departamento de Genética, Facultad de Ciencias, Universidad de Granada, 18071 Granada, Spain ; Laboratório de Bioinformática, Instituto de Biotecnología, Centro de Investigación Biomédica, 18100 Granada, Spain.
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        subj:
          DNA
          Resource Databases
          Evolution
          Genome, Human
          Animals
          Genomics Methods
          Internet
          Mice
          Primates
          Rats
      ab: Hypomethylated, CpG-rich DNA segments (CpG islands, CGIs) are epigenome markers involved in key biological processes. Aberrant methylation is implicated in the appearance of several disorders as cancer, immunodeficiency, or centromere instability. Furthermore, methylation differences at promoter regions between human and chimpanzee strongly associate with genes involved in neurological/psychological disorders and cancers. Therefore, the evolutionary comparative analyses of CGIs can provide insights on the functional role of these epigenome markers in both health and disease. Given the lack of specific tools, we developed CpGislandEVO. Briefly, we first compile a database of statistically significant CGIs for the best assembled mammalian genome sequences available to date. Second, by means of a coupled browser front-end, we focus on the CGIs overlapping orthologous genes extracted from OrthoDB, thus ensuring the comparison between CGIs located on truly homologous genome segments. This allows comparing the main compositional features between homologous CGIs. Finally, to facilitate nucleotide comparisons, we lifted genome coordinates between assemblies from different species, which enables the analysis of sequence divergence by direct count of nucleotide substitutions and indels occurring between homologous CGIs. The resulting CpGislandEVO database, linking together CGIs and single-cytosine DNA methylation data from several mammalian species, is freely available at our website.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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