minfi
The minfi package, a widely used tool for analyzing Illumina DNA methylation array data, has been modified to support Illumina's HumanMethylationEPIC ('EPIC') array. This update includes methods for the joint analysis and normalization of data from the HumanMethylation450 ('450k') and EPIC platforms. A new single-sample normalization procedure called Noob (ssNoob) is introduced, designed explicitly for incremental preprocessing of individual methylation arrays, recommended when integrating data from multiple generations of Infinium methylation arrays. The modified minfi package also allows for estimating cell type composition for EPIC arrays using reference 450k datasets. These updates ensure that minfi provides the necessary tools for effectively integrating existing and forthcoming Illumina methylation array data.
Topic
Epigenetics;Microarray experiment;DNA
Detail
Operation: Analysis;Visualisation
Software interface: Command-line user interface,Library
Language: R
License: Artistic License 2.0
Cost: Free
Version name: 1.48.0
Credit: The National Cancer Institute of the National Institutes of Health, the Leukemia & Lymphoma Society Quest for Cures program, the Tower Cancer Research Foundation, the St. Baldrick’s Foundation Pathway Directed Treatment for Refractory AML Consortium, the Jane Anne Nohl Hematology Research Support Fund.
Input: -
Output: -
Contact: Kasper Daniel Hansen kasperdanielhansen@gmail.com
Collection: -
Maturity: Stable
Publications
- Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi.
- Fortin JP, et al. Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi. Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi. 2017; 33:558-560. doi: 10.1093/bioinformatics/btw691
- https://doi.org/10.1093/bioinformatics/btw691
- PMID: 28035024
- PMC: PMC5408810
Download and documentation
Source: http://bioconductor.org/packages/release/bioc/src/contrib/minfi_1.48.0.tar.gz
Documentation: http://bioconductor.org/packages/release/bioc/manuals/minfi/man/minfi.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/minfi.html
Links: http://bioconductor.org/packages/release/bioc/vignettes/minfi/inst/doc/minfi.html
Links: http://bioconductor.org/packages/release/bioc/vignettes/minfi/inst/doc/minfi.R
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