ChiLin

ChiLin performs automated quality control and analysis of ChIP-seq and DNase-seq data to assess protein–DNA interactions, histone modifications, and chromatin accessibility.

Key Features:

• Unified Framework: ChiLin integrates ChIP-seq and DNase-seq analysis within a single framework.
• Modular Software Design: The pipeline uses a modular architecture that supports extensibility and adaptation to diverse experimental designs.
• Batch Processing Capability: ChiLin supports processing of large datasets for high-throughput studies and multi-sample projects.
• Comprehensive Quality Control Reports: The tool generates QC reports that include comparisons with a reference collection compiled from 23,677 public samples (11,265 datasets).
• Quality Atlas and Metrics: Metrics are compiled into a structured quality atlas with fine classification across eight literature-based categories.

Scientific Applications:

• Large-scale genomic studies: Consistent QC and batch analysis across numerous ChIP-seq and DNase-seq datasets for cohort-level investigations.
• Gene regulation research: Assessment of protein–DNA interactions and histone modifications to study regulatory mechanisms.
• Chromatin accessibility analysis: Evaluation of DNase-seq data to characterize chromatin accessibility landscapes.
• Disease modeling and target identification: Comparative QC and analysis to support studies in disease mechanisms and therapeutic target discovery.

Methodology:

Automates QC and analysis for ChIP-seq and DNase-seq via a modular software framework that compares experimental data against a quality metric resource compiled from 23,677 public samples (11,265 datasets) across eight literature-based categories and organizes metrics into a structured quality atlas.