SICER

SICER identifies broad domains of enrichment from histone modification ChIP-Seq data to map chromatin states relevant to gene regulation and cell identity.

Key Features:

• Domain Identification: Identifies broad domains of histone modification enrichment from ChIP-Seq data rather than focusing on localized peaks.
• Signal Clustering: Employs clustering of signals across neighboring nucleosomes to detect groups of enrichment that are unlikely to occur by chance, pooling adjacent nucleosome information to enhance detection.
• Genomic-Scale Analysis: Performs genome-scale analyses to map epigenetic states across entire genomes.
• Validation and Performance: Validated on loci with known epigenetic states and demonstrates superior sensitivity and specificity for histone modification profiles compared to existing methods.
• Data Normalization: Provides an unbiased approach applicable to data normalization for quantitative comparisons of epigenetic modifications across cell types and growth conditions.

Scientific Applications:

• Epigenetic Research: Enables exploration of chromatin states and their roles in gene regulation by identifying enriched histone modification domains.
• Comparative Genomics: Supports comparative studies of epigenetic landscapes across species at genomic scale.
• Functional Genomics: Facilitates investigation of how epigenetic modifications influence cellular processes and identity.

Methodology:

Aggregates ChIP-Seq signal enrichment across neighboring nucleosomes and uses spatial clustering to identify contiguous domains of histone modification enrichment that are statistically unlikely by chance.