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Estimation of genetic and molecular regulatory networks from high-throughput genomics data

Bioconductor version: Release (3.19)

Estimate gene and eQTL networks from high-throughput expression and genotyping assays.

Author: Robert Castelo [aut, cre], Alberto Roverato [aut]

Maintainer: Robert Castelo <robert.castelo at>

Citation (from within R, enter citation("qpgraph")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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BasicUsersGuide.pdf PDF
Estimate eQTL networks using qpgraph PDF R Script
Reverse-engineer transcriptional regulatory networks using qpgraph PDF R Script
Simulating molecular regulatory networks using qpgraph PDF R Script
Reference Manual PDF


biocViews GeneExpression, GeneRegulation, GeneticVariability, Genetics, GraphAndNetwork, Microarray, NetworkInference, Pathways, SNP, Software, Transcription
Version 2.38.0
In Bioconductor since BioC 2.4 (R-2.9) (15 years)
License GPL (>= 2)
Depends R (>= 3.5)
Imports methods, parallel, Matrix (>= 1.5-0), grid, annotate, graph(>= 1.45.1), Biobase, S4Vectors, BiocParallel, AnnotationDbi, IRanges, GenomeInfoDb, GenomicRanges, GenomicFeatures, mvtnorm, qtl, Rgraphviz
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Suggests RUnit, BiocGenerics, BiocStyle, genefilter,, rlecuyer, snow, Category, GOstats
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Source Package qpgraph_2.38.0.tar.gz
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