For a more detailed description of all the worksheets in the supplementary files the reader is directed to the DRYAD repository: doi.org/10.5061/dryad.6wwpzgn74. (XLSX)
A large number of computational methods have been recently developed for analyzing differential gene expression (DE) in RNA-seq data. We report on a comprehensive evaluation of the commonly used DE me
Huh7.5.1.-Cas9 cell line (control), Huh7.5.1. Cas9 DENV2 replicon cell line, and Huh7.5.1. Cas9 cell line acutely infected with DENV2 for 24 hours was profiled by bulk RNAseq.
