CausalR: extracting mechanistic sense from genome scale data


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Abstract

SummaryUtilization 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 implementationCausalR is implemented in R, parallelized, and is available from BioconductorContactglyn.x.bradley@gsk.comSupplementary informationSupplementary data are available at Bioinformatics online.

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