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We provide example data sets and a complete analysis script that demonstrate how to use the edgeR package to prioritize data from four different pooled shRNA-seq screens.
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The differentially expressed genes (DEGs, including both mRNAs and lncRNAs) between ONFH and FNF samples were identified using the edgeR package in R, and were then subjected to enrichment analysis using the BioCloud platform.
We found little evidence of gene length bias using the edgeR package, though a relatively large effect was found using a Poisson model.
Normalization was implemented using the edgeR package in R [ 56].
Differential expression calls were made using the EdgeR package.
(a-c) plotSmear plots were generated using the edgeR package.
The read counts were then normalized using the edgeR package (Robinson et al. 2010).
Statistical analysis was performed using the edgeR package [ 37] for R software [ 38].
Raw read counts were analysed with R using the edgeR package from Bioconductor [ 60].
Transcript abundance values were compared among samples using the EdgeR package (bioconductor) to assess statistical significance [ 37].
We used the edgeR package [ 17] (version 2.5.3) to perform the exact test for differential expression analysis in our pipeline.
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