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Fig. 2 | BMC Bioinformatics

Fig. 2

From: iSeqQC: a tool for expression-based quality control in RNA sequencing

Fig. 2

Quality control metrics produced by iSeqQC. a) Unsupervised PCA clustering (z-scored normalized) showing tight cluster of samples within the phenotype; b) Hierarchical relationship assigning each sample to its own phenotypic cluster; c) Unsupervised PCA clustering (un-normalized) showing control4 to be phenotypically different; d) Pearson correlation showing relationships between samples among biological replicates; e) Normalized expression of housekeeping genes (GAPDH and beta-actin) among different samples showing low expression of control4 sample; f) GC bias plot showing control4 with lower gene-counts relative to GC content

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