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MIRA: an R package for DNA methylation-based inference of regulatory activity.
Lawson, John T; Tomazou, Eleni M; Bock, Christoph; Sheffield, Nathan C.
Afiliação
  • Lawson JT; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
  • Tomazou EM; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  • Bock C; Children's Cancer Research Institute, St. Anna's Kinderkrebsforschung, Vienna, Austria.
  • Sheffield NC; CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria.
Bioinformatics ; 34(15): 2649-2650, 2018 08 01.
Article em En | MEDLINE | ID: mdl-29506020
ABSTRACT

Summary:

DNA methylation contains information about the regulatory state of the cell. MIRA aggregates genome-scale DNA methylation data into a DNA methylation profile for a given region set with shared biological annotation. Using this profile, MIRA infers and scores the collective regulatory activity for the region set. MIRA facilitates regulatory analysis in situations where classical regulatory assays would be difficult and allows public sources of region sets to be leveraged for novel insight into the regulatory state of DNA methylation datasets. Availability and implementation http//bioconductor.org/packages/MIRA.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Análise de Sequência de DNA / Metilação de DNA / Epigenômica Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Análise de Sequência de DNA / Metilação de DNA / Epigenômica Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos