recountmethylation enables flexible analysis of public blood DNA methylation array data

SK Maden, B Walsh, K Ellrott, KD Hansen… - Bioinformatics …, 2023 - academic.oup.com
Thousands of DNA methylation (DNAm) array samples from human blood are publicly
available on the Gene Expression Omnibus (GEO), but they remain underutilized for …

GLINT: a user-friendly toolset for the analysis of high-throughput DNA-methylation array data

E Rahmani, R Yedidim, L Shenhav, R Schweiger… - …, 2017 - academic.oup.com
GLINT is a user-friendly command-line toolset for fast analysis of genome-wide DNA
methylation data generated using the Illumina human methylation arrays. GLINT, which …

CoMeBack: DNA methylation array data analysis for co-methylated regions

E Gatev, N Gladish, S Mostafavi, MS Kobor - Bioinformatics, 2020 - academic.oup.com
Motivation High-dimensional DNA methylation (DNAm) array coverage, while sparse in the
context of the entire DNA methylome, still constitutes a very large number of CpG probes …

GMQN: A reference-based method for correcting batch effects as well as probes bias in HumanMethylation BeadChip

Z Xiong, M Li, Y Ma, R Li, Y Bao - bioRxiv, 2021 - biorxiv.org
Abstract Illumina HumanMethylation BeadChip is one of the most cost-effective ways to
quantify DNA methylation levels at the single-base level across the human genome, which …

GMQN: a reference-based method for correcting batch effects and probe bias in humanmethylation beadchip

Z Xiong, M Li, Y Ma, R Li, Y Bao - Frontiers in genetics, 2022 - frontiersin.org
The Illumina HumanMethylation BeadChip is one of the most cost-effective methods to
quantify DNA methylation levels at single-base resolution across the human genome, which …

Meffil: efficient normalisation and analysis of very large DNA methylation samples

J Min, G Hemani, GD Smith, C Relton, M Suderman - bioRxiv, 2017 - biorxiv.org
Background Technological advances in high throughput DNA methylation microarrays have
allowed dramatic growth of a new branch of epigenetic epidemiology. DNA methylation …

EWAS Data Hub: a resource of DNA methylation array data and metadata

Z Xiong, M Li, F Yang, Y Ma, J Sang, R Li… - Nucleic Acids …, 2020 - academic.oup.com
Abstract Epigenome-Wide Association Study (EWAS) has become an effective strategy to
explore epigenetic basis of complex traits. Over the past decade, a large amount of …

Comparison of methylation capture sequencing and Infinium MethylationEPIC array in peripheral blood mononuclear cells

C Shu, X Zhang, BE Aouizerat, K Xu - Epigenetics & chromatin, 2020 - Springer
Background Epigenome-wide association studies (EWAS) have been widely applied to
identify methylation CpG sites associated with human disease. To date, the Infinium …

methylCC: technology-independent estimation of cell type composition using differentially methylated regions

SC Hicks, RA Irizarry - Genome biology, 2019 - Springer
A major challenge in the analysis of DNA methylation (DNAm) data is variability introduced
from intra-sample cellular heterogeneity, such as whole blood which is a convolution of …

Adjustment of cell-type composition minimizes systematic bias in blood DNA methylation profiles derived by DNA collection protocols

Y Shiwa, T Hachiya, R Furukawa, H Ohmomo, K Ono… - PloS one, 2016 - journals.plos.org
Differences in DNA collection protocols may be a potential confounder in epigenome-wide
association studies (EWAS) using a large number of blood specimens from multiple …