Package: QCGWAS 1.0-9

QCGWAS: Quality Control of Genome Wide Association Study Results

Tools for (automated and manual) quality control of the results of Genome Wide Association Studies.

Authors:Peter J. van der Most and Ilja M. Nolte

QCGWAS_1.0-9.tar.gz
QCGWAS_1.0-9.zip(r-4.7-any)QCGWAS_1.0-9.zip(r-4.6-any)QCGWAS_1.0-9.zip(r-4.5-any)
QCGWAS_1.0-9.tgz(r-4.6-any)QCGWAS_1.0-9.tgz(r-4.5-any)
QCGWAS_1.0-9.tar.gz(r-4.7-any)QCGWAS_1.0-9.tar.gz(r-4.6-any)
QCGWAS_1.0-9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
QCGWAS/json (API)

# Install 'QCGWAS' in R:
install.packages('QCGWAS', repos = c('https://mostpj.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

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

2.32 score 2 stars 26 scripts 209 downloads 4 mentions 26 exports 0 dependencies

Last updated from:bb665efc92. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK143
source / vignettesOK139
linux-releaseOK109
macos-releaseOK169
macos-oldrelOK160
windows-develOK53
windows-releaseOK74
windows-oldrelOK77
wasm-releaseOK75

Exports:calc_kurtosiscalc_skewnesscheck_Pconvert_impstatuscreate_hapmap_referencefilter_GWAShistogram_seriesHQ_filteridentify_columnintensity_plotload_GWASload_testmatch_allelesplot_distributionplot_precisionplot_regionalplot_skewnessQC_GWASQC_histogramQC_plotsQC_seriesQQ_plotQQ_seriessave_logswitch_strandtranslate_header

Dependencies: