CSCS

CSCS annotates chromatin states in the bread wheat variety Chinese Spring by integrating a chromosome-level genome assembly with 15 epigenomic datasets to identify regulatory elements and characterize combinatorial chromatin signatures.

Key Features:

• Epigenomic Data Integration: Integrates a chromosome-level Chinese Spring assembly with 15 epigenomic datasets including open chromatin regions and major chromatin marks.
• Chromatin State Partitioning: Partitions the integrated datasets into 15 distinct chromatin states to represent combinatorial chromatin signatures.
• Self-Organizing Map (SOM) Segmentation: Uses a trained Self-Organizing Map (SOM) to map genomic segments across all chromatin states.
• Regulatory Element Annotation: Identifies and annotates regulatory elements (REs) that govern gene activity in Chinese Spring based on chromatin state assignments.
• Motif and Gene Ontology Analysis: Performs motif analysis for genomic regions or genes and Gene Ontology (GO) analysis for gene function categorization.
• Extension to New Data Sets: Supports integration and SOM-based analysis of new epigenomic datasets for comparative chromatin mapping.

Scientific Applications:

• Gene regulation in wheat: Elucidating regulatory mechanisms underlying gene expression in the bread wheat variety Chinese Spring.
• Functional element detection: Detecting and characterizing regulatory elements at genomic scale using chromatin state information.
• Chromatin dynamics analysis: Analyzing chromatin dynamics and combinatorial chromatin signatures across the wheat genome.
• Functional annotation: Linking chromatin states to gene function through motif and GO analyses.
• Comparative epigenomics: Enabling comparative SOM-based analyses by integrating new epigenomic datasets.

Methodology:

Collects and integrates 15 epigenomic datasets with a chromosome-level Chinese Spring assembly and partitions genomic segments into 15 chromatin states using a trained Self-Organizing Map (SOM), with SOM mapping applicable to new datasets.