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README.md
<!-- README.md is generated from README.Rmd. Please edit that file --> # `dearseq` <a><img src='man/figures/logo.svg' align="right" height="139" /></a> [![BioC status](http://www.bioconductor.org/shields/build/release/bioc/dearseq.svg)](https://bioconductor.org/checkResults/release/bioc-LATEST/dearseq) [![BioC dev status](http://www.bioconductor.org/shields/build/devel/bioc/dearseq.svg)](https://bioconductor.org/checkResults/devel/bioc-LATEST/dearseq) [![R build status](https://github.com/borishejblum/dearseq/workflows/R-CMD-check-bioc/badge.svg)](https://github.com/borishejblum/dearseq/actions) [![Codecov test coverage](https://codecov.io/gh/borishejblum/dearseq/branch/master/graph/badge.svg)](https://codecov.io/gh/borishejblum/dearseq?branch=master) [![Download](http://www.bioconductor.org/shields/downloads/release/dearseq.svg)](https://bioconductor.org/packages/stats/bioc/dearseq) <!-- [![Downloads](https://cranlogs.r-pkg.org/badges/dearseq?color=blue)](https://www.r-pkg.org/pkg/dearseq) --> ## Overview `dearseq` is a package for analyzing RNA-seq data. The 2 main functions of the package are `dear_seq()` and `dgsa_seq()`: - **Gene-wise Differential Analysis of RNA-seq data** can be performed using the function `dear_seq()`. - **Gene Set Analysis of RNA-seq data** can be performed using the function `dgsa_seq()`. The methods implemented in this package are detailed in the following articles: > Gauthier M, Agniel D, Thiébaut R & Hejblum BP (2020). dearseq: a > variance component score test for RNA-Seq differential analysis that > effectively controls the false discovery rate, *NAR Genomics and > Bioinformatics* **2**(*4*):lqaa093 [DOI: > 10.1093/nargab/lqaa093](https://doi.org/10.1101/10.1093/nargab/lqaa093) > [bioRxiv:635714](https://www.biorxiv.org/content/10.1101/635714v1) 🌐 Reproducible code files for the results presented in Gauthier *et al.* (2020) can be dowloaded here: [👉 *NAR G&B* reproducible code files](https://github.com/borishejblum/dearseq/releases/download/v1.7.2/NARGAB_ReproducibleCodeFiles.zip) > Agniel D & Hejblum BP (2017). Variance component score test for > time-course gene set analysis of longitudinal RNA-seq data, > [*Biostatistics*](https://academic.oup.com/biostatistics/article-abstract/18/4/589/3065599), > **18**(*4*):589-604. > [arXiv:1605.02351](https://arxiv.org/abs/1605.02351v4) [DOI: > 10.1093/biostatistics/kxx005](https://doi.org/10.1093/biostatistics/kxx005) ## Installation ***`dearseq` is available from [Bioconductor](http://www.bioconductor.org)*** ``` r #install.packages("BiocManager") BiocManager::install("dearseq") ``` The development version of `dearseq` is available on [GitHub](https://github.com/borishejblum/dearseq): ``` r #install.packages("BiocManager") remotes::install_github("borishejblum/dearseq") ``` – Marine Gauthier, Denis Agniel & Boris Hejblum