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RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR
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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| Опубликовано в: : | F1000Res |
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| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
F1000 Research Limited
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4937821/ https://ncbi.nlm.nih.gov/pubmed/27441086 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.9005.3 |
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