HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization

Bioinformatics. 2014 Jun 1;30(11):1620-2. doi: 10.1093/bioinformatics/btu082. Epub 2014 Feb 7.

Abstract

Recently developed methods that couple next-generation sequencing with chromosome conformation capture-based techniques, such as Hi-C and ChIA-PET, allow for characterization of genome-wide chromatin 3D structure. Understanding the organization of chromatin in three dimensions is a crucial next step in the unraveling of global gene regulation, and methods for analyzing such data are needed. We have developed HiBrowse, a user-friendly web-tool consisting of a range of hypothesis-based and descriptive statistics, using realistic assumptions in null-models.

Availability and implementation: HiBrowse is supported by all major browsers, and is freely available at http://hyperbrowser.uio.no/3d. Software is implemented in Python, and source code is available for download by following instructions on the main site.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Chromatin / chemistry*
  • Data Interpretation, Statistical
  • Genome
  • Genomics / methods
  • High-Throughput Nucleotide Sequencing
  • Software*

Substances

  • Chromatin