RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR [version 3; referees: 3 approved]

The ability to easily and efficiently analyse RNA-sequencing data is a key strength of the Bioconductor project. Starting with counts summarised at the gene-level, a typical analysis involves pre-processing, exploratory data analysis, differential expression testing and pathway analysis with the res...

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Bibliographic Details
Main Authors: Charity W. Law, Monther Alhamdoosh, Shian Su, Xueyi Dong, Luyi Tian, Gordon K. Smyth, Matthew E. Ritchie
Format: Artigo
Language:Inglês
Published: F1000 Research Ltd 2018-12-01
Series:F1000Research
Subjects:
Bioinformatics
Genomics
Structure: Transcription & Translation
Online Access:https://f1000research.com/articles/5-1408/v3
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