ChroGPS, a global chromatin positioning system for the functional analysis and visualization of the epigenome. Issue 4 (23rd November 2013)

• Record Type: Journal Article
• Authors: Font-Burgada, Joan; Reina, Oscar; Rossell, David; Azorín, Fernando
• Is Part Of: Nucleic acids research. Volume 42:Issue 4(2014)
• Page Start: 2126
• Page End: 2137
• Publication Date: 2013-11-23
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkt1186
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: Development of tools to jointly visualize the genome and the epigenome remains a challenge. chroGPS is a computational approach that addresses this question. chroGPS uses multidimensional scaling techniques to represent similarity between epigenetic factors, or between genetic elements on the basis of their epigenetic state, in 2D/3D reference maps. We emphasize biological interpretability, statistical robustness, integration of genetic and epigenetic data from heterogeneous sources, and computational feasibility. Although chroGPS is a general methodology to create reference maps and study the epigenetic state of any class of genetic element or genomic region, we focus on two specific kinds of maps: chroGPS factors, which visualizes functional similarities between epigenetic factors, and chroGPS genes, which describes the epigenetic state of genes and integrates gene expression and other functional data. We use data from the modENCODE project on the genomic distribution of a large collection of epigenetic factors in Drosophila, a model system extensively used to study genome organization and function. Our results show that the maps allow straightforward visualization of relationships between factors and elements, capturing relevant information about their functional properties that helps to interpret epigenetic information in a functional context and derive testable hypotheses.