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DESeq2 was carried out to determine Differential Gene Expression (DGE) analysis and estimate variance and significance of expression in our samples.
Galaxy platform
Galaxy platform
Principal Component Analysis (PCA)** to determine the distance between samples.
2. HeatMap** to visualize the similarities and differences between samples
**We can make the same conclusion by looking at the HeatMap and PCA.
3. Dispersion estimates: mean of normalized counts compared to variance. As the dispersion decreases the mean normalized count increases
4. Histogram of p-values*: Shoot Apical Meristem vs Leaf
*p-values adjusted by Benjamini and Hochberg method
4. MA Plot for visual representation of genomic data:
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