Basic4Cseq

Basic4Cseq analyzes 4C-seq (Circular Chromosome Conformation Capture sequencing) data to process, filter, and visualize near-cis chromatin interactions for studies of genome architecture and gene regulation.


Key Features:

  • Data Processing: Processes aligned 4C-seq raw data in BAM format and maps short reads to virtual fragment libraries.
  • Virtual Fragment Libraries: Creates virtual fragment libraries compatible with any BSGenome package, annotating chromosome position, fragment length, uniqueness of fragment ends, and blindness status.
  • Filtering Functions: Provides an optional BAM filter to remove invalid reads and functions to filter 4C-seq fragments based on predefined criteria.
  • Quality Control: Implements basic quality control measures that assess read distribution across fragments.
  • Visualization Tools: Generates coverage plots using a running median approach and multi-scale contact profiles for fragment data near the viewpoint.
  • Data Export Options: Exports processed fragment data into Wig and CSV formats.

Scientific Applications:

  • Gene regulation studies: Characterizes chromatin interactions relevant to transcriptional regulation.
  • Enhancer–promoter interaction analysis: Identifies and visualizes enhancer-promoter contacts in cis.
  • Three-dimensional genome architecture: Profiles near-cis contact patterns to inform studies of genome organization.
  • Near-cis chromatin interaction profiling: Maps and quantifies interactions proximal to a specific viewpoint.

Methodology:

Processes BAM-aligned 4C-seq reads by mapping them to virtual fragment libraries constructed from BSGenome packages, applies optional BAM and fragment-level filters, assesses read distribution for quality control, and produces coverage plots using a running median and multi-scale contact profiles with output export to Wig or CSV.

Topics

Collections

Details

License:
GPL-3.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
2/26/2019

Operations

Publications

Walter C, Schuetzmann D, Rosenbauer F, Dugas M. Basic4Cseq: an R/Bioconductor package for analyzing 4C-seq data. Bioinformatics. 2014;30(22):3268-3269. doi:10.1093/bioinformatics/btu497.

Documentation

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