DEGseq: an R package for identifying differentially expressed genes from RNA-seq data

被引：3530

作者：

Wang, Likun ^{[1
,2
,3
]}

Feng, Zhixing ^{[1
,2
]}

Wang, Xi ^{[1
,2
]}

Wang, Xiaowo ^{[1
,2
]}

Zhang, Xuegong ^{[1
,2
]}

机构：

[1] Tsinghua Univ, MOE Key Lab Bioinformat, Beijing 100084, Peoples R China

[2] Tsinghua Univ, Bioinformat Div, TNLIST Dept Automat, Beijing 100084, Peoples R China

[3] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China

来源：

BIOINFORMATICS | 2010年 / 26卷 / 01期

基金：

中国国家自然科学基金;

关键词：

MICROARRAYS; SINGLE;

D O I：

10.1093/bioinformatics/btp612

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

High-throughput RNA sequencing (RNA-seq) is rapidly emerging as a major quantitative transcriptome profiling platform. Here, we present DEGseq, an R package to identify differentially expressed genes or isoforms for RNA-seq data from different samples. In this package, we integrated three existing methods, and introduced two novel methods based on MA-plot to detect and visualize gene expression difference.

引用

页码：136 / 138

页数：3

共 13 条

[1] CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].