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gwid: Genome-Wide Identity-by-Descent

Methods and tools for the analysis of Genome Wide Identity-by-Descent ('gwid') mapping data, focusing on testing whether there is a higher occurrence of Identity-By-Descent (IBD) segments around potential causal variants in cases compared to controls, which is crucial for identifying rare variants. To enhance its analytical power, 'gwid' incorporates a Sliding Window Approach, allowing for the detection and analysis of signals from multiple Single Nucleotide Polymorphisms (SNPs).

Version: 0.1.0
Imports: data.table, gdsfmt, SNPRelate, Matrix, ggplot2, plotly, utils, stats, RcppRoll, methods, piggyback
Suggests: knitr, magrittr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-12-14
Author: Soroush Mahmoudiandehkordi [aut, cre], Mehdi Maadooliat [aut], Steven Schrodi [aut]
Maintainer: Soroush Mahmoudiandehkordi <soroushmdg at gmail.com>
BugReports: https://github.com/soroushmdg/gwid/issues
License: MIT + file LICENSE
URL: https://github.com/soroushmdg/gwid
NeedsCompilation: no
Materials: README NEWS
CRAN checks: gwid results

Documentation:

Reference manual: gwid.pdf

Downloads:

Package source: gwid_0.1.0.tar.gz
Windows binaries: r-devel: gwid_0.1.0.zip, r-release: gwid_0.1.0.zip, r-oldrel: gwid_0.1.0.zip
macOS binaries: r-release (arm64): gwid_0.1.0.tgz, r-oldrel (arm64): gwid_0.1.0.tgz, r-release (x86_64): gwid_0.1.0.tgz, r-oldrel (x86_64): gwid_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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