Cargando…
gtrellis: an R/Bioconductor package for making genome-level Trellis graphics
BACKGROUND: Trellis graphics are a visualization method that splits data by one or more categorical variables and displays subsets of the data in a grid of panels. Trellis graphics are broadly used in genomic data analysis to compare statistics over different categories in parallel and reveal multiv...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4835841/ https://www.ncbi.nlm.nih.gov/pubmed/27089965 http://dx.doi.org/10.1186/s12859-016-1051-4 |
_version_ | 1782427680414629888 |
---|---|
author | Gu, Zuguang Eils, Roland Schlesner, Matthias |
author_facet | Gu, Zuguang Eils, Roland Schlesner, Matthias |
author_sort | Gu, Zuguang |
collection | PubMed |
description | BACKGROUND: Trellis graphics are a visualization method that splits data by one or more categorical variables and displays subsets of the data in a grid of panels. Trellis graphics are broadly used in genomic data analysis to compare statistics over different categories in parallel and reveal multivariate relationships. However, current software packages to produce Trellis graphics have not been designed with genomic data in mind and lack some functionality that is required for effective visualization of genomic data. RESULTS: Here we introduce the gtrellis package which provides an efficient and extensible way to visualize genomic data in a Trellis layout. gtrellis provides highly flexible Trellis layouts which allow efficient arrangement of genomic categories on the plot. It supports multiple-track visualization, which makes it straightforward to visualize several properties of genomic data in parallel to explain complex relationships. In addition, gtrellis provides an extensible framework that allows adding user-defined graphics. CONCLUSIONS: The gtrellis package provides an easy and effective way to visualize genomic data and reveal high dimensional relationships on a genome-wide scale. gtrellis can be flexibly extended and thus can also serve as a base package for highly specific purposes. gtrellis makes it easy to produce novel visualizations, which can lead to the discovery of previously unrecognized patterns in genomic data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1051-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4835841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48358412016-04-20 gtrellis: an R/Bioconductor package for making genome-level Trellis graphics Gu, Zuguang Eils, Roland Schlesner, Matthias BMC Bioinformatics Software BACKGROUND: Trellis graphics are a visualization method that splits data by one or more categorical variables and displays subsets of the data in a grid of panels. Trellis graphics are broadly used in genomic data analysis to compare statistics over different categories in parallel and reveal multivariate relationships. However, current software packages to produce Trellis graphics have not been designed with genomic data in mind and lack some functionality that is required for effective visualization of genomic data. RESULTS: Here we introduce the gtrellis package which provides an efficient and extensible way to visualize genomic data in a Trellis layout. gtrellis provides highly flexible Trellis layouts which allow efficient arrangement of genomic categories on the plot. It supports multiple-track visualization, which makes it straightforward to visualize several properties of genomic data in parallel to explain complex relationships. In addition, gtrellis provides an extensible framework that allows adding user-defined graphics. CONCLUSIONS: The gtrellis package provides an easy and effective way to visualize genomic data and reveal high dimensional relationships on a genome-wide scale. gtrellis can be flexibly extended and thus can also serve as a base package for highly specific purposes. gtrellis makes it easy to produce novel visualizations, which can lead to the discovery of previously unrecognized patterns in genomic data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1051-4) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-18 /pmc/articles/PMC4835841/ /pubmed/27089965 http://dx.doi.org/10.1186/s12859-016-1051-4 Text en © Gu et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Gu, Zuguang Eils, Roland Schlesner, Matthias gtrellis: an R/Bioconductor package for making genome-level Trellis graphics |
title | gtrellis: an R/Bioconductor package for making genome-level Trellis graphics |
title_full | gtrellis: an R/Bioconductor package for making genome-level Trellis graphics |
title_fullStr | gtrellis: an R/Bioconductor package for making genome-level Trellis graphics |
title_full_unstemmed | gtrellis: an R/Bioconductor package for making genome-level Trellis graphics |
title_short | gtrellis: an R/Bioconductor package for making genome-level Trellis graphics |
title_sort | gtrellis: an r/bioconductor package for making genome-level trellis graphics |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4835841/ https://www.ncbi.nlm.nih.gov/pubmed/27089965 http://dx.doi.org/10.1186/s12859-016-1051-4 |
work_keys_str_mv | AT guzuguang gtrellisanrbioconductorpackageformakinggenomeleveltrellisgraphics AT eilsroland gtrellisanrbioconductorpackageformakinggenomeleveltrellisgraphics AT schlesnermatthias gtrellisanrbioconductorpackageformakinggenomeleveltrellisgraphics |