Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package

@inproceedings{Tarazona2015DataQA,
  title={Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package},
  author={Sonia Tarazona and Pedro Furi{\'o}-Tar{\'i} and David Turr{\`a} and Antonio Di Pietro and Mar{\'i}a Jos{\'e} Nueda and Alberto Ferrer and Ana Conesa},
  booktitle={Nucleic acids research},
  year={2015}
}
As the use of RNA-seq has popularized, there is an increasing consciousness of the importance of experimental design, bias removal, accurate quantification and control of false positives for proper data analysis. We introduce the NOISeq R-package for quality control and analysis of count data. We show how the available diagnostic tools can be used to monitor quality issues, make pre-processing decisions and improve analysis. We demonstrate that the non-parametric NOISeqBIO efficiently controls… CONTINUE READING
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