peakC

peakC analyzes 4C-seq (Chromosome Conformation Capture with high-throughput sequencing) data to improve detection and benchmarking of chromatin interactions within genomic regions for epigenetic studies.

Key Features:

• High-Resolution Data Analysis: Processes 4C-seq datasets to deliver precise interaction signals within a region of interest while accounting for 4C-seq-specific data characteristics.
• Benchmarking Capabilities: Developed and evaluated using 66 real 4C-seq samples from 20 distinct datasets to benchmark algorithm performance.
• Simulation Integration: Integrates Basic4CSim to generate realistic simulated 4C-seq datasets for controlled evaluation and comparison.
• Algorithm Comparison: Compares 4C-seq algorithms using metrics including precision, recall, interaction structure, and computational efficiency.
• Adaptability to Data Characteristics: Implements methods tailored to the unique biases and structure of 4C-seq data across experimental conditions.
• Near-cis and Far-cis Analysis: Addresses both near-cis and far-cis interaction scenarios to enhance detection across different genomic distances.

Scientific Applications:

• Epigenetic Research: Provides detailed chromatin interaction data to support studies of gene regulation and expression.
• Medical Research: Supplies high-resolution interaction information relevant to investigations of genetic disorders and cancer.

Methodology:

Uses a benchmarking approach combining 66 real 4C-seq samples and Basic4CSim-generated simulated datasets to compare algorithm variants by precision, recall, interaction structure, and computational efficiency.