HiC-TE

HiC-TE analyzes Hi-C sequencing data to quantify and visualize contacts among repetitive DNA families such as ribosomal DNA, centromeric satellites, and LTR retrotransposons and to assess their contributions to three-dimensional genome organization.


Key Features:

  • Binning by Repeat Families: Bins Hi-C read pairs by repeat family instead of by chromosomal location to focus analysis on interactions among repetitive elements.
  • Integration with Reference Genome and Repeat Analysis Tools: Integrates Hi-C data with reference genome annotations and repeat annotations using Nextflow for workflow orchestration.
  • Contact Quantification: Identifies and quantifies contacts between specific repeat families from Hi-C data.
  • Output Visualizations: Produces heatmaps showing contact frequencies between repeat families and circular diagrams depicting spatial distributions of repeat family contacts.
  • Repeat Annotation Compatibility: Accepts repeat annotations from TE-greedy-nester (tandem repeats and LTR retrotransposons) or user-supplied GFF3 files for other repeat types.

Scientific Applications:

  • Understanding Genome Architecture: Reveals preferential homotypic and heterotypic interactions among repeat families to inform 3D genome structure analyses.
  • Comparative Genomics: Enables cross-species comparisons of repeat-mediated chromatin interactions across eukaryotic genomes, including plant genomes.
  • Functional Genomics: Provides data on repeat interactions that can inform studies of gene regulation and chromosomal stability.

Methodology:

Bins Hi-C read pairs by repeat family, integrates Hi-C data with reference genome annotations, uses Nextflow for workflow management, accepts TE-greedy-nester outputs or GFF3 repeat annotations, quantifies contacts between repeat families, and generates heatmaps and circular diagrams.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Other, R
Added:
10/2/2022
Last Updated:
11/24/2024

Operations

Publications

Lexa M, Cechova M, Nguyen SH, Jedlicka P, Tokan V, Kubat Z, Hobza R, Kejnovsky E. HiC-TE: a computational pipeline for Hi-C data analysis to study the role of repeat family interactions in the genome 3D organization. Bioinformatics. 2022;38(16):4030-4032. doi:10.1093/bioinformatics/btac442. PMID:35781332.

PMID: 35781332
Funding: - Czech Science Foundation: 21-00580S