GWASinspector: Comprehensive and Easy to Use Quality Control of GWAS Results

When evaluating the results of a genome-wide association study (GWAS), it is important to perform a quality control to ensure that the results are valid, complete, correctly formatted, and, in case of meta-analysis, consistent with other studies that have applied the same analysis. This package was developed to facilitate and streamline this process and provide the user with a comprehensive report.

Version: 1.2
Depends: R (≥ 3.2)
Imports: ini (≥ 0.3), futile.logger (≥ 1.4), data.table (≥ 1.10), hash (≥ 2.2), tools (≥ 3.0), ggplot2 (≥ 3.0), knitr (≥ 1.1), rmarkdown (≥ 0.9), gridExtra, grid, RSQLite, kableExtra (≥ 0.8)
Suggests: xlsx (≥ 0.5), parallel (≥ 3.0)
Published: 2019-09-25
Author: Alireza Ani [aut, cre], Peter J. van der Most [aut], Ahmad Vaez [aut], Ilja M. Nolte [aut]
Maintainer: Alireza Ani <a.ani at umcg.nl>
License: GPL-3
URL: http://GWASinspector.com
NeedsCompilation: no
Materials: NEWS ChangeLog
CRAN checks: GWASinspector results

Downloads:

Reference manual: GWASinspector.pdf
Vignettes: Introduction to GWASinspector
Package source: GWASinspector_1.2.tar.gz
Windows binaries: r-devel: GWASinspector_1.2.zip, r-release: GWASinspector_1.2.zip, r-oldrel: GWASinspector_1.2.zip
OS X binaries: r-release: GWASinspector_1.2.tgz, r-oldrel: GWASinspector_1.2.tgz
Old sources: GWASinspector archive

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