Use of the IlluminaHumanMethylationMSAmanifest

James W. MacDonald [email protected]

2024-09-27

This package provides the manifest for the Illumina Human Methylation MSA array, based on the csv available on their support site .

The script used to generate the manifest can be found in /tmp/RtmpdwrudD/Rinst28af64617540/IlluminaHumanMethylationMSAmanifest/scripts/manifest.R.

Curently minfi will not automatically identify the array correctly, so this must be set by hand. As an example:

RGset <- read.metharray.exp(...)
annotation(RGset) <- list(array = "IlluminaHumanMethylationMSA",
                          annotation = "20a1.hg38")

After setting the annotation, you can then process the RGset as normal.

Session info

sessionInfo()
## R version 4.4.1 Patched (2024-08-16 r87026)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 22.04.5 LTS
## 
## Matrix products: default
## BLAS:   /home/lorikern/R-Installs/bin/R-4-4-branch/lib/libRblas.so 
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0
## 
## locale:
##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=C              
##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
## 
## time zone: America/New_York
## tzcode source: system (glibc)
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] knitr_1.48
## 
## loaded via a namespace (and not attached):
##  [1] digest_0.6.37     R6_2.5.1          fastmap_1.2.0     xfun_0.47        
##  [5] cachem_1.1.0      htmltools_0.5.8.1 rmarkdown_2.28    lifecycle_1.0.4  
##  [9] cli_3.6.3         sass_0.4.9        jquerylib_0.1.4   compiler_4.4.1   
## [13] tools_4.4.1       evaluate_0.24.0   bslib_0.8.0       yaml_2.3.10      
## [17] rlang_1.1.4       jsonlite_1.8.8