Unified Differential Expression, Variability and Skewness Analysis for RNA-Seq Data R package SIEVEseq version 0.0.0 Provides a unified framework for the simultaneous testing of differential expression, variability, and skewness of genes using RNA-Seq data. The framework adopts a compositional data analysis approach for modelling RNA-Seq count data, applies the centered log-ratio transformation to obtain continuous variables, and uses the skew-normal distribution for statistical inference. Methods are described in Li and Khang (bioRxiv preprint, 2024, version 3) <doi:10.1101/2024.04.09.588804>. Software Depends: R (>= 4.1) Imports: sn, stats, ggplot2 Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Hongxiang Li <hxli@ynnu.edu.cn> Comprehensive R Archive Network (CRAN) Hongxiang Li [aut, cre], Tsung Fei Khang [aut] GPL (>= 2) 2026-06-25 application/tgz https://CRAN.R-project.org/package=SIEVEseq doi:10.32614/CRAN.package.SIEVEseq