A cross-package Bioconductor workflow for analysing methylation array data [version 3; referees: 4 approved]

A cross-package Bioconductor workflow for analysing methylation array data [version 3; referees: 4 approved]

Blog Article

Methylation in the human genome is known to be associated with development and disease.The Illumina Infinium methylation arrays are by far the most common way to interrogate methylation across the human genome.This paper provides a Bioconductor workflow using multiple packages for the analysis of methylation array data.Specifically, we demonstrate the steps Redéfinition des récits urbains : analyse de deux déplacements du centre politique de Macapá (1944 et 1967) involved in a typical differential methylation analysis pipeline including: quality control, filtering, normalization, data exploration and statistical testing for probe-wise differential methylation.We further outline other analyses such as differential methylation of regions, differential variability analysis, estimating cell type composition Study protocol: developing and evaluating an interactive web platform to teach children hunting, shooting and firearms safety: a randomized controlled trial and gene ontology testing.

Finally, we provide some examples of how to visualise methylation array data.