PhyloCTCFLooping
PhyloCTCFLooping analyzes vertebrate genomic sequences to detect CTCF-motif–encoded chromatin looping by computing a 3D ratio (3DR) that quantifies relative distances between convergent and divergent CTCF motif pairs for studying 3D genome and topologically associating domain (TAD) evolution.
Key Features:
- CTCF Motif Analysis: Identifies CTCF motifs, determines motif orientation, and compares distances between convergent and divergent CTCF motif pairs to assess sequence-encoded looping signals.
- 3D Ratio (3DR) Computation: Computes the 3D ratio (3DR), a statistic that quantifies the relative distances between convergent and divergent CTCF motifs as an indicator of chromatin looping.
- Evolutionary Insights: Compares 3DR values across vertebrate genomes to investigate the evolution of chromatin looping and TAD organization and to reveal evolutionary constraints in DNA sequence associated with 3D genome architecture.
- Ancestral Character Reconstruction: Infers ancestral 3DR values via ancestral character reconstruction to explore historical changes in genomic 3D organization.
Scientific Applications:
- Gene expression regulation: Enables investigation of how sequence-encoded chromatin loops correlate with gene regulatory programs across species.
- Replication-timing programs: Facilitates study of relationships between 3D genome organization inferred from sequence and replication-timing schedules.
- Comparative evolutionary genomics: Supports comparative analyses of 3D genome features across vertebrates using only genomic sequences.
- 3D genome and TAD evolution: Provides metrics to study the evolutionary dynamics of topologically associating domains and higher-order chromatin structure.
Methodology:
Identify CTCF motifs and orientations in vertebrate genomes; calculate distances between convergent and divergent motif pairs; compute the 3DR statistic; compare 3DR metrics across species; perform ancestral character reconstruction of 3DR values.
Topics
Details
- License:
- Apache-2.0
- Tool Type:
- command-line tool
- Programming Languages:
- R
- Added:
- 1/9/2020
- Last Updated:
- 1/11/2021
Operations
Publications
Mourad R. Studying 3D genome evolution using genomic sequence. Bioinformatics. 2019;36(5):1367-1373. doi:10.1093/bioinformatics/btz775. PMID:31605131.