similaRpeak

similaRpeak quantifies similarities between Chromatin Immunoprecipitation Sequencing (ChIP-Seq) profiles to analyze protein localization and regulatory factor occupancy across genomes.

Key Features:

• Integration and summarization: Aggregates ChIP-Seq enrichment signals from complex experimental designs using metagene plots.
• Comparative analysis: Identifies and quantifies similarities and dissimilarities in ChIP-Seq profiles across large datasets.
• Mechanistic insight detection: Analyzes differential occupancy of regulatory factors to distinguish "gradient effects" from "threshold effects" in transcriptional control.
• Protein localization inference: Processes and interprets ChIP-Seq profiles to provide insights into protein occupancy patterns across the genome.
• R package integration: Operates as part of the R package suite including metagene and Imetagene.

Scientific Applications:

• Noncoding regulatory region analysis: Analysis of promoters and enhancers to study regulatory factor occupancy and its relationship to transcription.
• Cell-type specific occupancy studies: Application to datasets such as GM12878 B-lymphocytes to investigate regulatory factor binding patterns and transcriptional regulation.

Methodology:

Implemented in R, uses metagene plots to aggregate ChIP-Seq enrichment signals, and is distributed via Bioconductor.