PQLseq
Efficient Mixed Model Analysis of Count Data in Large-Scale Genomic Sequencing Studies
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.
- Version1.2.1
- R version≥ 2.10
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release06/06/2021
Documentation
Team
Jiaqiang Zhu
Shiquan Sun, Jiaqiang Zhu, Xiang Zhou
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- Depends1 package
- Imports6 packages
- Linking To2 packages