Statistical methods on detecting differentially expressed genes for RNA-seq data

Empirical bayes analysis of sequencing-based transcriptional profiling without replicates

(2010) Zhijin Wu et al.   BMC BIOINFORMATICS

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

(2010) James H Bullard et al.   BMC BIOINFORMATICS

Gene ontology analysis for RNA-seq: accounting for selection bias

(2010) Matthew D Young et al.   GENOME BIOLOGY

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

(2010) Mark D Robinson et al.   GENOME BIOLOGY

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

(2009) Likun Wang et al.   BIOINFORMATICS

Transcript length bias in RNA-seq data confounds systems biology

(2009) Alicia Oshlack et al.   Biology Direct

Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays

(2009) Joshua S Bloom et al.   BMC GENOMICS

Genome-Wide Analysis in Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling

(2009) N. T. Ingolia et al.   SCIENCE

Testing the Ratio of Two Poisson Rates

(2008) Kangxia Gu et al.   BIOMETRICAL JOURNAL

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

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

RNA-Seq: a revolutionary tool for transcriptomics

(2008) Zhong Wang et al.   NATURE REVIEWS GENETICS