Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
Top Cited Papers
- 22 August 2013
- journal article
- protocol
- Published by Springer Science and Business Media LLC in Nature Protocols
- Vol. 8 (9), 1765-1786
- https://doi.org/10.1038/nprot.2013.099
Abstract
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- Epigenetic expansion of VHL-HIF signal output drives multiorgan metastasis in renal cancerNature Medicine, 2012
- Foxp3 Exploits a Pre-Existent Enhancer Landscape for Regulatory T Cell Lineage SpecificationCell, 2012
- Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and CufflinksNature Protocols, 2012
- Differential oestrogen receptor binding is associated with clinical outcome in breast cancerNature, 2012
- Sequencing technology does not eliminate biological variabilityNature Biotechnology, 2011
- Full-length transcriptome assembly from RNA-Seq data without a reference genomeNature Biotechnology, 2011
- Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiationNature Biotechnology, 2010
- How to map billions of short reads onto genomesNature Biotechnology, 2009
- RNA-Seq: a revolutionary tool for transcriptomicsNature Reviews Genetics, 2009
- Mapping and quantifying mammalian transcriptomes by RNA-SeqNature Methods, 2008