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MIRA: an R package for DNA methylation-based inference of regulatory activity

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 activi...

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Detalles Bibliográficos
Autores principales: Lawson, John T, Tomazou, Eleni M, Bock, Christoph, Sheffield, Nathan C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061852/
https://www.ncbi.nlm.nih.gov/pubmed/29506020
http://dx.doi.org/10.1093/bioinformatics/bty083
Descripción
Sumario: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.