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.

Documentation