Just reading this very interesting paper on how many #replicates are needed for appropriate analysis of bulk #RNAseq data and comparing tools for DE gene expression.

#bioinformatics #article #goodread

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878611/

From the abstract

With three biological replicates, nine of the 11 tools evaluated
found only 20%–40% of the significantly differentially expressed (SDE) genes identified with the full set of 42 clean replicates.
This rises to >85% for the subset of SDE genes changing in expression by more than fourfold. To achieve >85% for all SDE genes regardless of fold change requires more than 20 biological replicates.

How many biological replicates are needed in an RNA-seq experiment and which differential expression tool should you use?

RNA-seq is now the technology of choice for genome-wide differential gene expression experiments, but it is not clear how many biological replicates are needed to ensure valid biological interpretation of the results or which statistical tools are best ...

PubMed Central (PMC)