Cargando…
DCGL v2.0: An R Package for Unveiling Differential Regulation from Differential Co-expression
MOTIVATION: Differential co-expression analysis (DCEA) has emerged in recent years as a novel, systematic investigation into gene expression data. While most DCEA studies or tools focus on the co-expression relationships among genes, some are developing a potentially more promising research domain,...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835854/ https://www.ncbi.nlm.nih.gov/pubmed/24278165 http://dx.doi.org/10.1371/journal.pone.0079729 |
_version_ | 1782292219890237440 |
---|---|
author | Yang, Jing Yu, Hui Liu, Bao-Hong Zhao, Zhongming Liu, Lei Ma, Liang-Xiao Li, Yi-Xue Li, Yuan-Yuan |
author_facet | Yang, Jing Yu, Hui Liu, Bao-Hong Zhao, Zhongming Liu, Lei Ma, Liang-Xiao Li, Yi-Xue Li, Yuan-Yuan |
author_sort | Yang, Jing |
collection | PubMed |
description | MOTIVATION: Differential co-expression analysis (DCEA) has emerged in recent years as a novel, systematic investigation into gene expression data. While most DCEA studies or tools focus on the co-expression relationships among genes, some are developing a potentially more promising research domain, differential regulation analysis (DRA). In our previously proposed R package DCGL v1.0, we provided functions to facilitate basic differential co-expression analyses; however, the output from DCGL v1.0 could not be translated into differential regulation mechanisms in a straightforward manner. RESULTS: To advance from DCEA to DRA, we upgraded the DCGL package from v1.0 to v2.0. A new module named “Differential Regulation Analysis” (DRA) was designed, which consists of three major functions: DRsort, DRplot, and DRrank. DRsort selects differentially regulated genes (DRGs) and differentially regulated links (DRLs) according to the transcription factor (TF)-to-target information. DRrank prioritizes the TFs in terms of their potential relevance to the phenotype of interest. DRplot graphically visualizes differentially co-expressed links (DCLs) and/or TF-to-target links in a network context. In addition to these new modules, we streamlined the codes from v1.0. The evaluation results proved that our differential regulation analysis is able to capture the regulators relevant to the biological subject. CONCLUSIONS: With ample functions to facilitate differential regulation analysis, DCGL v2.0 was upgraded from a DCEA tool to a DRA tool, which may unveil the underlying differential regulation from the observed differential co-expression. DCGL v2.0 can be applied to a wide range of gene expression data in order to systematically identify novel regulators that have not yet been documented as critical. AVAILABILITY: DCGL v2.0 package is available at http://cran.r-project.org/web/packages/DCGL/index.html or at our project home page http://lifecenter.sgst.cn/main/en/dcgl.jsp. |
format | Online Article Text |
id | pubmed-3835854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38358542013-11-25 DCGL v2.0: An R Package for Unveiling Differential Regulation from Differential Co-expression Yang, Jing Yu, Hui Liu, Bao-Hong Zhao, Zhongming Liu, Lei Ma, Liang-Xiao Li, Yi-Xue Li, Yuan-Yuan PLoS One Research Article MOTIVATION: Differential co-expression analysis (DCEA) has emerged in recent years as a novel, systematic investigation into gene expression data. While most DCEA studies or tools focus on the co-expression relationships among genes, some are developing a potentially more promising research domain, differential regulation analysis (DRA). In our previously proposed R package DCGL v1.0, we provided functions to facilitate basic differential co-expression analyses; however, the output from DCGL v1.0 could not be translated into differential regulation mechanisms in a straightforward manner. RESULTS: To advance from DCEA to DRA, we upgraded the DCGL package from v1.0 to v2.0. A new module named “Differential Regulation Analysis” (DRA) was designed, which consists of three major functions: DRsort, DRplot, and DRrank. DRsort selects differentially regulated genes (DRGs) and differentially regulated links (DRLs) according to the transcription factor (TF)-to-target information. DRrank prioritizes the TFs in terms of their potential relevance to the phenotype of interest. DRplot graphically visualizes differentially co-expressed links (DCLs) and/or TF-to-target links in a network context. In addition to these new modules, we streamlined the codes from v1.0. The evaluation results proved that our differential regulation analysis is able to capture the regulators relevant to the biological subject. CONCLUSIONS: With ample functions to facilitate differential regulation analysis, DCGL v2.0 was upgraded from a DCEA tool to a DRA tool, which may unveil the underlying differential regulation from the observed differential co-expression. DCGL v2.0 can be applied to a wide range of gene expression data in order to systematically identify novel regulators that have not yet been documented as critical. AVAILABILITY: DCGL v2.0 package is available at http://cran.r-project.org/web/packages/DCGL/index.html or at our project home page http://lifecenter.sgst.cn/main/en/dcgl.jsp. Public Library of Science 2013-11-20 /pmc/articles/PMC3835854/ /pubmed/24278165 http://dx.doi.org/10.1371/journal.pone.0079729 Text en © 2013 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yang, Jing Yu, Hui Liu, Bao-Hong Zhao, Zhongming Liu, Lei Ma, Liang-Xiao Li, Yi-Xue Li, Yuan-Yuan DCGL v2.0: An R Package for Unveiling Differential Regulation from Differential Co-expression |
title | DCGL v2.0: An R Package for Unveiling Differential Regulation from Differential Co-expression |
title_full | DCGL v2.0: An R Package for Unveiling Differential Regulation from Differential Co-expression |
title_fullStr | DCGL v2.0: An R Package for Unveiling Differential Regulation from Differential Co-expression |
title_full_unstemmed | DCGL v2.0: An R Package for Unveiling Differential Regulation from Differential Co-expression |
title_short | DCGL v2.0: An R Package for Unveiling Differential Regulation from Differential Co-expression |
title_sort | dcgl v2.0: an r package for unveiling differential regulation from differential co-expression |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835854/ https://www.ncbi.nlm.nih.gov/pubmed/24278165 http://dx.doi.org/10.1371/journal.pone.0079729 |
work_keys_str_mv | AT yangjing dcglv20anrpackageforunveilingdifferentialregulationfromdifferentialcoexpression AT yuhui dcglv20anrpackageforunveilingdifferentialregulationfromdifferentialcoexpression AT liubaohong dcglv20anrpackageforunveilingdifferentialregulationfromdifferentialcoexpression AT zhaozhongming dcglv20anrpackageforunveilingdifferentialregulationfromdifferentialcoexpression AT liulei dcglv20anrpackageforunveilingdifferentialregulationfromdifferentialcoexpression AT maliangxiao dcglv20anrpackageforunveilingdifferentialregulationfromdifferentialcoexpression AT liyixue dcglv20anrpackageforunveilingdifferentialregulationfromdifferentialcoexpression AT liyuanyuan dcglv20anrpackageforunveilingdifferentialregulationfromdifferentialcoexpression |