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  "Title": "A cross-package Bioconductor workflow for analysing methylation\narray data",
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  "Description": "Methylation in the human genome is known to be associated\nwith development and disease. The Illumina Infinium methylation\narrays are by far the most common way to interrogate\nmethylation across the human genome. This Bioconductor workflow\nuses multiple packages for the analysis of methylation array\ndata. Specifically, we demonstrate the steps involved in a\ntypical differential methylation analysis pipeline including:\nquality control, filtering, normalization, data exploration and\nstatistical testing for probe-wise differential methylation. We\nfurther outline other analyses such as differential methylation\nof regions, differential variability analysis, estimating cell\ntype composition and gene ontology testing. Finally, we provide\nsome examples of how to visualise methylation array data.",
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