ChromaAccess.Ai is designed to seamlessly integrate into research workflows by combining genomic, ATAC-seq, and DNA methylation data. Using machine learning models trained on multiomic datasets, the platform predicts chromatin accessibility with high precision, enabling accurate mapping of active regulatory regions. This integrated approach bridges the gaps left by isolated experimental methods and generates functional insights into gene regulation, disease mechanisms, and epigenetic variatio...