The Comparison of Assembly Softwares and Gene Ontology Analysis using transcriptome sequencing data from Dracocephalum kotschyi Boiss.

With fast advances in next generation sequencing technologies, they has become powerful and low-cost tools for transcriptome studies, Nowadays; de novo assembly of transcriptome data, has caused the formation of the new pathway in the study of non-model genome species. With the expansion of this technology and increasing the number of assembly softwares, choosing the best software for assembling transcriptome sequencing data has become a challenge for biologists. For the first time in this study, we used transcriptome sequencing data of Dracocephalum kotschyi in order to reach the appropriate parameters and superior software; so here we used Oases-velvet, SOAPdenovo-Trans, Trans-ABySS and Trinity softwares with two different values of K parameter; K=25 and K=32. The results of assembly by each software were compared to others in the term of several criteria. The result suggests the superiority of Trinity and Trans-ABySS softwares. Finally, the output of the best assembly was used to estimate abundance of various isoforms and Gene Ontology analysis as regards to the pharmaceutical properties of this plant and the high amount of secondary metabolites, the highest frequency of sections in the biological processes was related to the metabolic activity.