Figure 6

The DiffKAP pipeline. The schematic diagram of DiffKAP. The pipeline includes the following steps: 1- Produce a k-mer uniqueness plot to predict the optimum k-mer length; 2 - For each dataset, count the total number of each unique k-mer with the optimum length and normalise by dataset size; 3- Identify differentially expressed k-mers (DEKs) by comparing abundance between datasets; 4 - Combine the original read datasets to produce a single set of unique reads; 5 - Identify differentially expressed reads (DERs) based on their composition of DEKs; 6 - The DERs are annotated to present a redundant set of differentially expressed genes (DEGs) and 7 – Finally parse the blastx output file.