DEGseq
Identify Differentially Expressed Genes from RNA-seq data
Bioconductor version: 2.5
DEGseq is an R package to identify differentially expressed genes from RNA-Seq data.
Author: Likun Wang <wanglikun at tsinghua.edu.cn> and Xi Wang <wang-xi05 at mails.tsinghua.edu.cn>.
Maintainer: Likun Wang <wanglikun at tsinghua.edu.cn>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("DEGseq")
To cite this package in a publication, start R and enter:
citation("DEGseq")
Documentation
| R Script | DEGseq | |
| Reference Manual |
Details
| biocViews | RNAseq, Preprocessing, GeneExpression, DifferentialExpression |
| Depends | R (>= 2.8.0), qvalue, samr, methods |
| Imports | graphics, grDevices, methods, stats, utils |
| Suggests | |
| System Requirements | |
| License | LGPL (>=2) |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.0.5 |
| Since | Bioconductor 2.5 (R-2.10) |
Package Downloads
| Package Source | DEGseq_1.0.5.tar.gz |
| Windows Binary | DEGseq_1.0.5.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | DEGseq_1.0.5.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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