General Information
| Description | A Bioconductor package to infer genetic variants driving cellular phenotypes |
| Homepage | http://www.bioconductor.org |
Publications
DIGGIT: a Bioconductor package to infer genetic variants driving cellular phenotypes
Summary:
Identification of driver mutations in human diseases is often limited by cohort size and availability of appropriate statistical models. We propose a method for the systematic discovery of genetic alterations that are causal determinants of disease, by prioritizing genes upstream of functional disease drivers, within regulatory networks inferred de novo from experimental data. Here we present the implementation of Driver-gene Inference by Genetical-Genomic Information Theory as an R-system package.
Availability and implementation:
The diggit package is freely available under the GPL-2 license from Bioconductor (http://www.bioconductor.org).
Contact:
ma2581@cumc.columbia.edu or ac2248@cumc.columbia.edu
Related Tools
eResponseNet
Published June 2011
A package prioritizing candidate disease genes through cellular pathways
DOSE
Published October 2014
An R/Bioconductor package for disease ontology semantic and enrichment analysis
CytoCom
Published November 2014
A Cytoscape app to visualize, query and analyse disease comorbidity networks
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.
