Roadmap Epigenomics
  • Home /
    Grid
  • Metadata
  • Processed
    Data
    • Data matrix, primary analysis and processing, quality control
    • ChIP-seq and DNase-seq uniform reprocessing for consolidated epigenomes
    • RNA-seq uniform processing and quantification for consolidated epigenomes
    • Methylation data cross-assay standardization and uniform processing for consolidated epigenomes
  • Imputed
    Data
    • Imputed signal tracks
    • Imputed peak calls
    • Chromatin state models using imputed data
  • Chromatin
    State
    Learning
    • Core 15-state model
    • Expanded 18-state model
    • 25-state model using imputed data
  • Epigenomes
    Clustering
    • Clustering of epigenomes reveals common lineages, common properties
  • DNaseI-accessible
    Regulatory
    Regions
    • Delineation of DNaseI-accessible regulatory regions
    • Clustering of DNaseI-accessible regulatory regions to identify modules of coordinated activity
  • Predicting
    Regulators
    and Motifs
    • Predicting regulators active in each tissue / cell type / lineage
    • DNA Motif Positional Bias in Digital Genomic Footprinting Sites
  • Disease
    Variant
    Interpretation
    • Tissue-specific activity of disease-associated regions