A new shrinkage estimator for dispersion improves differential expression detection in RNA-seq data

Removing technical variability in RNA-seq data using conditional quantile normalization

(2012) K. D. Hansen et al.   BIOSTATISTICS

ReCount: A multi-experiment resource of analysis-ready RNA-seq gene count datasets

(2011) Alyssa C Frazee et al.   BMC BIOINFORMATICS

Sequencing technology does not eliminate biological variability

(2011) Kasper D Hansen et al.   NATURE BIOTECHNOLOGY

Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments

(2010) James H Bullard et al.   BMC BIOINFORMATICS

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

(2010) Thomas J Hardcastle et al.   BMC BIOINFORMATICS

Understanding mechanisms underlying human gene expression variation with RNA sequencing

(2010) Joseph K. Pickrell et al.   NATURE

Polymorphic Cis- and Trans-Regulation of Human Gene Expression

(2010) Vivian G. Cheung et al.   PLOS BIOLOGY

Differential expression analysis for sequence count data

(2010) Simon Anders et al.   GENOME BIOLOGY

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

(2009) Likun Wang et al.   BIOINFORMATICS

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

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

Sex-specific and lineage-specific alternative splicing in primates

(2009) R. Blekhman et al.   GENOME RESEARCH

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

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