Optimization of an RNA-Seq Differential Gene Expression Analysis Depending on Biological Replicate Number and Library Size

@UCDflowerpower "we concluded that the replicate number has a larger impact than the library size on the power of the DE analysis, except for low-expressed genes, for which both parameters seem to have the same impact." https://t.co/pdjtsRxx8o

@andy_utoronto These points are moot if folks are not using "between 5 and 20 M reads, and between three and 25 replicates: https://t.co/pdjtsRP7ZW This doesn't seem to get everyone's attention.

@jmbrkphd Another study toward this objective: Optimization of an RNA-Seq Differential Gene Expression Analysis Depending on Biological Replicate Number and Library Size https://t.co/3BEN1hmPPr

Cool follow up on earlier studies comparing and optimizing sequencing depth vs. replication in #RNASeq data with a nice take-home message of understanding how each of these impact DEG stability. https://t.co/YOZARMtKM0