DESeq2

ACP : Principal Component Analysis

Figure 1: PCA generated from the quantification matrix calculated by RSEM.

source : nf-core RNAseq MultiQC

PCAs are a good tool for validating biological samples, with verification of good batch separation. In the example above, each point represents a sample. The points are grouped in pairs because each sample is represented close to its replicate. This is a good indicator that the experimental steps have gone smoothly.

Fidure 2: différences dans les composantes principales entres les préfixes des échantillons (origine ou réplicat).

source : nf-core RNAseq Output