This article provides a systematic evaluation of the reproducibility and reliability of DNA methylation detection across major technological platforms, including bisulfite sequencing, microarrays, and emerging long-read and enzymatic methods.
This article provides a comprehensive validation of bisulfite genomic sequencing (BS-seq) as the gold standard for DNA methylation analysis.
This article provides a comprehensive analysis of the cross-platform validation strategies essential for translating DNA methylation biomarkers from research to clinical practice.
This article provides a comprehensive comparison of two prominent DNA methylation analysis platforms: Reduced Representation Bisulfite Sequencing (RRBS) and the Sequenom EpiTyper.
This article provides a systematic framework for validating Reduced Representation Bisulfite Sequencing (RRBS) data, tailored for researchers and drug development professionals.
Accurately discriminating true single nucleotide polymorphisms (SNPs) from artifacts introduced by bisulfite conversion is a critical challenge in epigenomic studies.
This article provides a comprehensive guide for researchers and drug development professionals on addressing batch effects in bisulfite sequencing datasets.
This article provides a comprehensive guide for researchers and drug development professionals on the critical role of normalization and binning procedures in the analysis of high-dimensional biomedical data with variable...
Accurate DNA methylation calling in low-coverage sequencing data remains a significant challenge in epigenomic studies, impacting cost-efficiency and data reliability.
This article provides a complete guide to quality control (QC) for Bisulfite Sequencing (BS-seq) data, a gold-standard method for DNA methylation analysis.