Package: iBMQ 1.53.1

Greg Imholte

iBMQ: integrated Bayesian Modeling of eQTL data

integrated Bayesian Modeling of eQTL data

Authors:Marie-Pier Scott-Boyer and Greg Imholte

iBMQ_1.53.1.tar.gz
iBMQ_1.53.1.zip(r-4.7)iBMQ_1.53.1.zip(r-4.6)iBMQ_1.53.1.zip(r-4.5)

iBMQ_1.53.1.tar.gz(r-4.7-arm64)iBMQ_1.53.1.tar.gz(r-4.7-x86_64)iBMQ_1.53.1.tar.gz(r-4.6-arm64)iBMQ_1.53.1.tar.gz(r-4.6-x86_64)
iBMQ_1.53.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
iBMQ/json (API)

# Install 'iBMQ' in R:
install.packages('iBMQ', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • gsl– GNU Scientific Library (GSL)
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • gene - Gene expression from whole eye tissue from n = 68 BXD RIS mice.
  • genepos - Gene position data frame
  • genotype.liver - A set of 290 SNPs from 60 F2 mice.
  • map.liver - SNP position data frame
  • phenotype.liver - Gene expression from liver tissue from n = 60 F2 mice.
  • PPA.liver - A matrix with Posterior Probabilities of Association
  • probe.liver - Gene position data frame
  • snp - A set of 1700 SNP from 68 BXD RIS mice.
  • snppos - SNP position data frame

On BioConductor:iBMQ-1.53.0(bioc 3.24)iBMQ-1.52.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

microarraypreprocessinggeneexpressionsnpgslopenmp

3.48 score 3 scripts 337 downloads 5 exports 20 dependencies

Last updated from:29a65d30cc. Checks:1 ERROR, 7 NOTE, 2 OK, 4 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR138
linux-devel-arm64NOTE157
linux-devel-x86_64NOTE203
source / vignettesOK257
linux-release-arm64NOTE133
linux-release-x86_64NOTE195
macos-release-arm64FAIL64
macos-release-x86_64FAIL148
macos-oldrel-arm64FAIL80
macos-oldrel-x86_64FAIL163
windows-develNOTE107
windows-releaseNOTE107
windows-oldrelNOTE92
wasm-releaseOK113

Exports:calculateThresholdeqtlClassifiereqtlFindereqtlMcmchotspotFinder

Dependencies:BiobaseBiocGenericsclicpp11farvergenericsggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr

iBMQ: An Integrated Hierarchical Bayesian Model for Multivariate eQTL Mapping

Rendered fromiBMQ.Rnwusingutils::Sweaveon May 29 2026.

Last update: 2018-08-30
Started: 2013-11-01