Epigenome-Wide Association Studies (EWAS) have become a cornerstone for identifying epigenetic variants, primarily DNA methylation marks, associated with complex diseases.
This article provides a comprehensive guide to quality control (QC) for DNA methylation microarray data, a critical step for ensuring robust and replicable findings in epigenome-wide association studies (EWAS).
Single-cell epigenomics has revolutionized our understanding of cellular heterogeneity, yet challenges in protocol resolution and data accuracy persist.
Epigenetic clocks have emerged as powerful tools for estimating biological age, yet their application is hampered by significant variability in predictions across different tissues.
This article provides a comprehensive guide for researchers and scientists on addressing the critical challenge of batch effects in large-scale Epigenome-Wide Association Studies (EWAS).
This article addresses the significant challenge of high costs associated with epigenetic sequencing platforms, a primary barrier for researchers and drug development professionals.
This guide provides researchers, scientists, and drug development professionals with a comprehensive framework for tackling the inherent complexities of epigenomic data interpretation.
This article provides a definitive guide for researchers and drug development professionals on optimizing bisulfite conversion, the foundational step for DNA methylation sequencing.
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on integrative bioinformatics pipelines for multi-omics epigenetics data.
This article provides a comprehensive guide for researchers and drug development professionals on isolating high-quality nuclei from frozen postmortem brain tissue, a critical step for single-nuclei RNA sequencing (snRNA-seq) and...