eprintid: 24271
rev_number: 11
eprint_status: archive
userid: 1589
dir: disk0/00/02/42/71
datestamp: 2018-04-20 09:15:48
lastmod: 2018-05-22 17:14:03
status_changed: 2018-04-20 09:15:48
type: article
metadata_visibility: show
creators_name: Gu, Zuguang
creators_name: Eils, Roland
creators_name: Schlesner, Matthias
creators_name: Ishaque, Naveed
title: EnrichedHeatmap: an R/Bioconductor package for comprehensive visualization of genomic signal associations
subjects: 570
subjects: 610
divisions: 160100
abstract: Background: High-throughput sequencing data are dramatically increasing in volume. Thus, there is urgent need for efficient tools to perform fast and integrative analysis of multiple data types. Enriched heatmap is a specific form of heatmap that visualizes how genomic signals are enriched over specific target regions. It is commonly used and efficient at revealing enrichment patterns especially for high dimensional genomic and epigenomic datasets.

Results: We present a new R package named EnrichedHeatmap that efficiently visualizes genomic signal enrichment. It provides advanced solutions for normalizing genomic signals within target regions as well as offering highly customizable visualizations. The major advantage of EnrichedHeatmap is the ability to conveniently generate parallel heatmaps as well as complex annotations, which makes it easy to integrate and visualize comprehensive
overviews of the patterns and associations within and between complex datasets.

Conclusions: EnrichedHeatmap facilitates comprehensive understanding of high dimensional genomic and epigenomic data. The power of EnrichedHeatmap is demonstrated by visualization of the complex associations between DNA methylation, gene expression and various histone modifications.
date: 2018
publisher: BioMed Central ; Springer
id_scheme: DOI
id_number: https://doi.org/10.1186/s12864-018-4625-x
ppn_swb: 1656463113
own_urn: urn:nbn:de:bsz:16-heidok-242714
language: eng
bibsort: GUZUGUANGENRICHEDHE2018
full_text_status: public
publication: BMC Genomics
volume: 19
number: 234
place_of_pub: London ; Berlin ; Heidelberg
pagerange: 2-7
issn: 1471-2164
citation:   Gu, Zuguang ; Eils, Roland ; Schlesner, Matthias ; Ishaque, Naveed  (2018) EnrichedHeatmap: an R/Bioconductor package for comprehensive visualization of genomic signal associations.  BMC Genomics, 19 (234).  pp. 2-7.  ISSN 1471-2164     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/24271/1/12864_2018_Article_4625.pdf