BPRMeth: a flexible Bioconductor package for modelling methylation profiles.
Bioinformatics
; 34(14): 2485-2486, 2018 07 15.
Article
em En
| MEDLINE
| ID: mdl-29522078
ABSTRACT
Motivation High-throughput measurements of DNA methylation are increasingly becoming a mainstay of biomedical investigations. While the methylation status of individual cytosines can sometimes be informative, several recent papers have shown that the functional role of DNA methylation is better captured by a quantitative analysis of the spatial variation of methylation across a genomic region. Results:
Here, we present BPRMeth, a Bioconductor package that quantifies methylation profiles by generalized linear model regression. The original implementation has been enhanced in two important ways we introduced a fast, variational inference approach that enables the quantification of Bayesian posterior confidence measures on the model, and we adapted the method to use several observation models, making it suitable for a diverse range of platforms including single-cell analyses and methylation arrays. Availability and implementation http//bioconductor.org/packages/BPRMeth. Supplementary information Supplementary data are available at Bioinformatics online.
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1
Base de dados:
MEDLINE
Assunto principal:
Software
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Metilação de DNA
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Epigenômica
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article