Statistical models for RNA-seq data derived from a two-condition 48-replicate experiment

TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions

(2013) Daehwan Kim et al.   GENOME BIOLOGY

Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data

(2013) Franck Rapaport et al.   GENOME BIOLOGY

A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis

(2012) M.-A. Dillies et al.   BRIEFINGS IN BIOINFORMATICS

Revisiting Global Gene Expression Analysis

(2012) Jakob Lovén et al.   CELL

Synthetic spike-in standards for RNA-seq experiments

(2011) L. Jiang et al.   GENOME RESEARCH

Sequencing technology does not eliminate biological variability

(2011) Kasper D Hansen et al.   NATURE BIOTECHNOLOGY

baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data

(2010) Thomas J Hardcastle et al.   BMC BIOINFORMATICS

Statistical Design and Analysis of RNA Sequencing Data

(2010) P. L. Auer et al.   GENETICS

Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

(2010) Cole Trapnell et al.   NATURE BIOTECHNOLOGY

Ensembl 2011

(2010) P. Flicek et al.   NUCLEIC ACIDS RESEARCH

A scaling normalization method for differential expression analysis of RNA-seq data

(2010) Mark D Robinson et al.   GENOME BIOLOGY

Differential expression analysis for sequence count data

(2010) Simon Anders et al.   GENOME BIOLOGY

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

(2009) M. D. Robinson et al.   BIOINFORMATICS

RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays

(2008) J. C. Marioni et al.   GENOME RESEARCH

Mapping and quantifying mammalian transcriptomes by RNA-Seq

(2008) Ali Mortazavi et al.   NATURE METHODS