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.

PMID: 31605131
Funding: - University of Toulouse: CNRS