This article provides a comprehensive guide for biomedical researchers on leveraging artificial intelligence (AI) to analyze epigenetic modifications (e.g., DNA methylation, histone marks) and non-coding RNA (ncRNA) data.
This article provides a comprehensive overview of established and emerging methods for detecting 5-methylcytosine (5mC), the cornerstone epigenetic DNA modification.
This article provides a detailed framework for researchers integrating microbiome profiling (16S rRNA sequencing and shotgun metagenomics) with host epigenome analysis.
This systematic review and meta-analysis synthesizes the most current evidence from 14 established epigenetic clocks (e.g., Horvath, Hannum, PhenoAge, GrimAge) and their associations with 174 distinct disease outcomes.
This comprehensive guide details the 10x Genomics Chromium Single Cell ATAC solution for profiling chromatin accessibility at single-cell resolution.
This comprehensive guide provides researchers, scientists, and drug development professionals with an in-depth analysis of the 10x Genomics Chromium Single Cell Multiome ATAC + Gene Expression platform.
For researchers and drug development professionals, translating promising epigenetic biomarker discoveries into robust, clinically useful tools requires rigorous independent validation.
This comprehensive guide details the critical framework for the analytical validation of DNA methylation detection assays, essential for biomarker discovery and clinical diagnostics.
This article examines the necessity and methodologies for the cross-cancer validation of epigenetic signatures, focusing on DNA methylation patterns.
Epigenetic biomarkers, particularly DNA methylation signatures and cell-free nucleosome profiles, offer immense potential for early disease detection, prognosis, and monitoring therapeutic response.