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An efficient tool designed for differential analysis of large-scale RNA sequencing (RNAseq) data and Bisulfite sequencing (BSseq) data in the presence of individual relatedness and population structure. 'PQLseq' first fits a Generalized Linear Mixed Model (GLMM) with adjusted covariates, predictor of interest and random effects to account for population structure and individual relatedness, and then performs Wald tests for each gene in RNAseq or site in BSseq.
Version: | 1.2.1 |
Depends: | R (≥ 2.10) |
Imports: | Rcpp (≥ 0.12.14), foreach, doParallel, parallel, Matrix, methods |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2021-06-06 |
DOI: | 10.32614/CRAN.package.PQLseq |
Author: | Shiquan Sun, Jiaqiang Zhu, Xiang Zhou |
Maintainer: | Jiaqiang Zhu <jiaqiang at umich.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
Copyright: | see file COPYRIGHTS |
NeedsCompilation: | yes |
In views: | Omics |
CRAN checks: | PQLseq results |
Reference manual: | PQLseq.pdf |
Package source: | PQLseq_1.2.1.tar.gz |
Windows binaries: | r-devel: PQLseq_1.2.1.zip, r-release: PQLseq_1.2.1.zip, r-oldrel: PQLseq_1.2.1.zip |
macOS binaries: | r-release (arm64): PQLseq_1.2.1.tgz, r-oldrel (arm64): PQLseq_1.2.1.tgz, r-release (x86_64): PQLseq_1.2.1.tgz, r-oldrel (x86_64): PQLseq_1.2.1.tgz |
Old sources: | PQLseq archive |
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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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