3. Results
The present study represented one of the biggest CAB-related DNA sequence data analysed to date. New bioinformatics tools were have been created to cope up with data generated by the next-generation sequencers. To overcome the bias in the tools we used standard, well-recognised pipelines such as FastQC and QIIME2 demultiplexing statistics for reading the quality of sequence, DADA2 algorithm for clustering, aligning, and filtering of chimeric sequences[21]. From the collected data, 12% (n=62, i.e. 35 Roche, six Ion Torrent and 21 Illumina generated sequence files-Table 1) of the files failed during the QC and were omitted and, finally, 452 raw files belonging to five different copepod genera were subjected to analysis.