CausalR: extracting mechanistic sense from genome scale data

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Abstract

Summary

Utilization of causal interaction data enables mechanistic rather than descriptive interpretation of genome-scale data. Here we present CausalR, the first open source causal network analysis platform. Implemented functions enable regulator prediction and network reconstruction, with network and annotation files created for visualization in Cytoscape. False positives are limited using the introduced Sequential Causal Analysis of Networks approach.

Availability and implementation

CausalR is implemented in R, parallelized, and is available from Bioconductor

Contact

glyn.x.bradley@gsk.com

Supplementary information

Supplementary data are available at Bioinformatics online.

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