Dataset Information
HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization.
Ontology highlight
ABSTRACT: Unlabelled
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.
SUBMITTER: Paulsen J
PROVIDER: S-EPMC4029040 | biostudies-literature | 2014 Jun
REPOSITORIES: biostudies-literature
Publications
HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization.
Bioinformatics (Oxford, England) 20140207 11
<h4>Unlabelled</h4>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 hypothesi ...[more]
