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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Automated Isoform Diversity Detector (AIDD): a pipeline for investigating transcriptome diversity of RNA-seq data

Fig. 3

Visualization of differential expression analysis using AIDD. a Principle component analysis of the top 500 expressed genes counts show 47% of the variance in the system is attributed to differences in cell lines and 27% of the variance is attributed to ZIKV infection status. b The top 500 hierarchal clustering also shows clustering of CSZ phenotype cell line (K048 & K054) ZIKV infected cells and normal phenotype cells (G010) regardless of ZIKV infection status clustered with the CSZ phenotype cell line mock infections. c The top 20 differentially expressed genes during ZIKV infection taking into account genetic cell line differences highlight the innate immune activation. When looking at each cell line independently, K048 (d) and K054 cells (e) have clear pattern of differentially expressed genes during ZIKV infection, whereas G010 cells f shows less of a pattern of differentially expressed genes. Panels gi show that when the top 20 differentially expressed genes are considered, each genetically distinct cell line shows a differentially gene expression response to ZIKV infection

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