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qpgraph

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

Bioconductor version: 3.0

Procedures to estimate gene and eQTL networks from high-throughput expression and genotyping assays.

Author: R. Castelo and A. Roverato

Maintainer: Robert Castelo <robert.castelo at upf.edu>

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

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("qpgraph")

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("qpgraph")

PDF		BasicUsersGuide.pdf
PDF	R Script	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		Reference Manual
Text		NEWS

biocViews	GeneExpression, GeneRegulation, GeneticVariability, Genetics, GraphAndNetwork, Microarray, NetworkInference, Pathways, SNP, Software, Transcription
Version	2.0.5
In Bioconductor since	BioC 2.4 (R-2.9)
License	GPL (>= 2)
Depends	R (>= 3.0.0)
Imports	methods, parallel, Matrix (>= 1.0), grid, annotate, graph(>= 1.44.0), Biobase, S4Vectors, BiocParallel, AnnotationDbi, IRanges, GenomeInfoDb, GenomicRanges, GenomicFeatures, mvtnorm, qtl, Rgraphviz
LinkingTo
Suggests	RUnit, BiocGenerics, BiocStyle, genefilter, org.EcK12.eg.db, rlecuyer, snow, Category, GOstats
SystemRequirements
Enhances
URL	http://functionalgenomics.upf.edu/qpgraph
Depends On Me
Imports Me	clipper
Suggests Me
Build Report

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