BP4RNAseq
This is the released version of BP4RNAseq; for the devel version, see BP4RNAseq.
A babysitter's package for reproducible RNA-seq analysis
Bioconductor version: Release (3.23)
An automated pipe for reproducible RNA-seq analysis with the minimal efforts from researchers. The package can process bulk RNA-seq data and single-cell RNA-seq data. You can only provide the taxa name and the accession id of RNA-seq data deposited in the National Center for Biotechnology Information (NCBI). After a cup of tea or longer, you will get formated gene expression data as gene count and transcript count based on both alignment-based and alignment-free workflows.
Author: Shanwen Sun [cre, aut], Lei Xu [aut], Quan Zou [aut]
Maintainer: Shanwen Sun <sunshanwen at gmail.com>
citation("BP4RNAseq")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BP4RNAseq")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BP4RNAseq")| BP4RNAseq vignette | HTML | R Script |
Details
| biocViews | GeneExpressionWorkflow, Workflow |
| Version | 1.22.0 |
| License | GPL-2 |
| Depends | R (>= 4.0.0) |
| Imports | dplyr, fastqcr, stringr, tidyr, stats, utils, magrittr, reticulate |
| System Requirements | UNIX, SRA Toolkit=2.10.3, Entrez Direct=13.3, FastQC=v0.11.9, Cutadapt=2.10, datasets, SAMtools=1.9, HISAT2=2.2.0, StringTie=2.1.1, Salmon=1.2.1 |
| URL |
See More
| Suggests | knitr, rmarkdown, testthat |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | BP4RNAseq_1.22.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (big-sur-x86_64) | |
| macOS Binary (sonoma-arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/BP4RNAseq |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/BP4RNAseq |
| Package Short Url | https://bioconductor.org/packages/BP4RNAseq/ |
| Package Downloads Report | Download Stats |