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.