Genotet: An Interactive Web-based Visual Exploration Framework to Support Validation of Gene Regulatory Networks

2014 ◽  
Vol 20 (12) ◽  
pp. 1903-1912 ◽  
Author(s):  
Bowen Yu ◽  
Harish Doraiswamy ◽  
Xi Chen ◽  
Emily Miraldi ◽  
Mario Luis Arrieta-Ortiz ◽  
...  
2015 ◽  
Vol 16 (Suppl 9) ◽  
pp. S7 ◽  
Author(s):  
Gianvito Pio ◽  
Michelangelo Ceci ◽  
Donato Malerba ◽  
Domenica D'Elia

2010 ◽  
Vol 26 (22) ◽  
pp. 2922-2923 ◽  
Author(s):  
M. A. Westenberg ◽  
J. B. T. M. Roerdink ◽  
O. P. Kuipers ◽  
S. A. F. T. van Hijum

2017 ◽  
Author(s):  
Tiago C Silva ◽  
Simon G Coetzee ◽  
Lijing Yao ◽  
Nicole Gull ◽  
Dennis J Hazelett ◽  
...  

AbstractMotivationDNA methylation has been used to identify functional changes at transcriptional enhancers and other cis-regulatory modules (CRMs) in tumors and other disease tissues. Our R/Bioconductor packageELMER(Enhancer Linking by Methylation/Expression Relationships) provides a systematic approach that reconstructs altered gene regulatory networks (GRNs) by combining enhancer methylation and gene expression data derived from the same sample set.ResultsWe present a completely revised version 2 ofELMERthat provides numerous new features including an optional web-based interface and a new Supervised Analysis mode to use pre-defined sample groupings. We show that this approach can identify GRNs associated with many new Master Regulators includingKLF5in breast cancer.AvailabilityELMERv.2 is available as an R/Bioconductor package athttp://bioconductor.org/packages/ELMER/


Sign in / Sign up

Export Citation Format

Share Document