HiCUP
HiCUP maps and filters sequencing reads from Hi-C and Capture Hi-C (CHi-C) experiments to a specified reference genome to produce artifact-filtered interaction data for downstream analysis of three-dimensional genome organization.
Key Features:
- Supported experiments: Processes sequence data derived from Hi-C and Capture Hi-C (CHi-C) experiments.
- Independent end mapping: Performs independent mapping of each end of an interaction pair to improve mapping precision.
- Reference-genome mapping: Maps interaction reads onto a specified reference genome.
- Artifact removal: Identifies and removes experimental artifacts from Hi-C/CHi-C datasets.
- Quality-control reporting: Generates comprehensive QC reports that summarise data quality and experimental metrics.
- High-quality interaction retention: Retains high-quality interaction data for downstream chromosomal interaction analyses.
Scientific Applications:
- 3D genome organization analysis: Preparation and filtering of Hi-C and CHi-C datasets for studies of chromosomal interactions and spatial genome architecture.
- Preprocessing for downstream analyses: Produces artifact-filtered interaction datasets suitable for downstream interaction calling and interpretation.
Methodology:
Performs independent mapping of each read end to a specified reference genome, filters and removes experimental artifacts, and generates comprehensive quality-control reports.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Perl
- Added:
- 1/13/2017
- Last Updated:
- 4/16/2021
Operations
Publications
Wingett SW, Ewels P, Furlan-Magaril M, Nagano T, Schoenfelder S, Fraser P, Andrews S. HiCUP: pipeline for mapping and processing Hi-C data. F1000Research. 2015;4:1310. doi:10.12688/f1000research.7334.1. PMID:26835000. PMCID:PMC4706059.