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)使用BBMap工具对原始测序读段（Raw reads）进行预处理，去除接头序列与低质量读段；随后利用BBNorm工具基于k-mer计数（kmer counts）对过滤后的读段进行深度标准化。分别采用Trinity及Velvet-Oases流程构建从头转录组（de novo transcriptomes），再通过CD-HIT-EST工具合并上述两个从头转录组，并按照90%相似度阈值去除转录本冗余，进而生成非冗余基因集。最终通过DIAMOND Blastp比对工具完成功能注释（Buchfink等，2021）