CORNAS: coverage-dependent RNA-Seq analysis of gene expression data without biological replicates

被引:0
作者
Joel Z. B. Low
Tsung Fei Khang
Martti T. Tammi
机构
[1] University of Malaya,Institute of Biological Sciences, Faculty of Science
[2] University of Malaya,Institute of Mathematical Sciences, Faculty of Science
[3] University of Malaya,University of Malaya Centre for Data Analytics
[4] University Putra Malaysia,Sime Darby Technology Centre Sdn. Bhd., UPM
来源
BMC Bioinformatics | / 18卷
关键词
RNA-Seq; Unreplicated experiments; Bayesian statistics; Differential gene expression; Sequencing coverage; Illumina;
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[1]  
Wang Z(2009)RNA-Seq: a revolutionary tool for transcriptomics Nat Rev Genet 10 57-63
[2]  
Gerstein M(2010)From RNA-seq reads to differential expression results Genome Biol 11 220-36
[3]  
Snyder M(2008)Highly integrated single-base resolution maps of the epigenome in Cell 133 523-40
[4]  
Oshlack A(2013)A comparison of methods for differential expression analysis of RNA-seq data BMC Bioinforma 14 91-8
[5]  
Robinson MD(2015)Getting the most out of RNA-seq data analysis PeerJ 3 e1360-23
[6]  
Young MD(2010)Differential expression analysis for sequence count data Genome Biol 11 106-36
[7]  
Lister R(2010)edgeR: a Bioconductor package for differential expression analysis of digital gene expression data Bioinformatics 26 139-82
[8]  
O’Malley RC(2010)DEGseq: an R package for identifying differentially expressed genes from RNA-seq data Bioinformatics 26 136-93
[9]  
Tonti-Filippini J(2010)baySeq: empirical Bayesian methods for identifying differential expression in sequence count data BMC Bioinforma 11 422-83
[10]  
Gregory BD(2011)Differential expression in RNA-seq: a matter of depth Genome Res 21 2213-86