scMethBank

scMethBank aggregates processed single-cell bisulfite sequencing DNA methylation data to support analysis of epigenomic heterogeneity across human and mouse samples.

Key Features:

• Data Integration: Consolidates processed single-cell bisulfite sequencing data from 15 public datasets across human and mouse.
• Extensive Metadata Collection: Curates metadata for 8328 samples covering 29 distinct cell types and two diseases.
• Visualization Tools: Provides advanced visualization for interpretation of methylation landscapes and identification of epigenetic markers associated with cell states or disease conditions.

Scientific Applications:

• Epigenetic Regulation: Supports analysis of DNA methylation roles in regulating gene expression during early embryonic development, cell differentiation, and tumor progression.
• Cell Heterogeneity Analysis: Facilitates investigation of cellular diversity and epigenetic contributions to cell-state transitions at single-cell resolution.
• Disease Research: Enables comparative analyses of methylation patterns related to two included diseases to investigate disease mechanisms and potential epigenetic biomarkers.

Methodology:

Aggregation, integration, analysis, and visualization of processed single-cell bisulfite sequencing data.