Impact of sequencing data filtering on the quality of de novo transcriptome assembly

There are many assemblers with different algorithms that used for de novo transcriptome assembly. At the same time, filtering stage, which is one of key stages, also has several approaches and algorithms. However, to date, there only few studies on effect degree filtration assembly, specially single-end reads. In this paper, we analyzed transcriptomes obtained using two most common software (rnaSPADES Trinity), applied various stage The differences between assemblies were shown parameters sensitive length input reads identified. An efficient two-stage algorithm was proposed, allows preserve volume data as much possible required quality all after trimming.