Functional annotation of the reference transcriptome for Karenia brevis Wilson, SP1,SP3, CCMP2229, Kbr90

Raw reads were pre-processed by removing the adaptors and low-quality reads using BBMap. The filtered reads were normalized for depth based on kmer counts using BBNorm function. De novo transcriptomes were generated using both Trinity and velvet-oases. CD-HIT-EST was used to merge the two de novo transcriptomes and reduce the transcript redundancy to 90% similarity and generate unique genes. Functional annotation was performed using diamond blastp function (Buchfink et al. 2021)