DNA methylation is one of the most commonly studied epigenetic marks, due to its role in disease and development. Illumina methylation arrays have been extensively used to measure methylation across the human genome. Methylation array analysis has primarily focused on preprocessing, normalisation and identification of differentially methylated CpGs and regions. GOmeth and GOregion are new methods for performing unbiased gene set testing following differential methylation analysis. Benchmarking analyses demonstrate GOmeth outperforms other approaches and GOregion is the first method for gene set testing of differentially methylated regions. Both methods are publicly available in the missMethyl Bioconductor R package.Competing Interest StatementThe authors have declared no competing interest.
Description
Gene set enrichment analysis for genome-wide DNA methylation data | bioRxiv
%0 Journal Article
%1 Maksimovic2020.08.24.265702
%A Maksimovic, Jovana
%A Oshlack, Alicia
%A Phipson, Belinda
%D 2020
%I Cold Spring Harbor Laboratory
%J bioRxiv
%K enrichment fulltext go-term gsea illumina methylation software
%R 10.1101/2020.08.24.265702
%T Gene set enrichment analysis for genome-wide DNA methylation data
%U https://www.biorxiv.org/content/early/2020/08/25/2020.08.24.265702
%X DNA methylation is one of the most commonly studied epigenetic marks, due to its role in disease and development. Illumina methylation arrays have been extensively used to measure methylation across the human genome. Methylation array analysis has primarily focused on preprocessing, normalisation and identification of differentially methylated CpGs and regions. GOmeth and GOregion are new methods for performing unbiased gene set testing following differential methylation analysis. Benchmarking analyses demonstrate GOmeth outperforms other approaches and GOregion is the first method for gene set testing of differentially methylated regions. Both methods are publicly available in the missMethyl Bioconductor R package.Competing Interest StatementThe authors have declared no competing interest.
@article{Maksimovic2020.08.24.265702,
abstract = {DNA methylation is one of the most commonly studied epigenetic marks, due to its role in disease and development. Illumina methylation arrays have been extensively used to measure methylation across the human genome. Methylation array analysis has primarily focused on preprocessing, normalisation and identification of differentially methylated CpGs and regions. GOmeth and GOregion are new methods for performing unbiased gene set testing following differential methylation analysis. Benchmarking analyses demonstrate GOmeth outperforms other approaches and GOregion is the first method for gene set testing of differentially methylated regions. Both methods are publicly available in the missMethyl Bioconductor R package.Competing Interest StatementThe authors have declared no competing interest.},
added-at = {2020-08-25T11:58:33.000+0200},
author = {Maksimovic, Jovana and Oshlack, Alicia and Phipson, Belinda},
biburl = {https://www.bibsonomy.org/bibtex/2af530165d60c3adabbb3bc33a2792876/marcsaric},
description = {Gene set enrichment analysis for genome-wide DNA methylation data | bioRxiv},
doi = {10.1101/2020.08.24.265702},
elocation-id = {2020.08.24.265702},
eprint = {https://www.biorxiv.org/content/early/2020/08/25/2020.08.24.265702.full.pdf},
interhash = {c4f27b0b242ae270c5565eec912b9bb7},
intrahash = {af530165d60c3adabbb3bc33a2792876},
journal = {bioRxiv},
keywords = {enrichment fulltext go-term gsea illumina methylation software},
publisher = {Cold Spring Harbor Laboratory},
timestamp = {2020-08-25T11:58:33.000+0200},
title = {Gene set enrichment analysis for genome-wide DNA methylation data},
url = {https://www.biorxiv.org/content/early/2020/08/25/2020.08.24.265702},
year = 2020
}