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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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Auteurs principaux: | , , , , , , |
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Format: | Artigo |
Langue: | Inglês |
Publié: |
F1000 Research Ltd
2018-12-01
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Collection: | F1000Research |
Sujets: | |
Accès en ligne: | https://f1000research.com/articles/5-1408/v3 |
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