De novo transcriptome assembly is a powerful technique in the study of non-model organisms when the reference genome is not available. However, transcriptomics data analysis often presents significant challenges due to the vast amounts of data and the common difficulties faced when removing contaminants, identifying, and annotating transcripts, and using assembled transcripts in downstream analysis. Among different programs and packages suggested for de novo assembly (Oases, Trans-ABySS, SOAPdenovo-Trans, and IDBA-Tran), the most popular is the Trinity package.
In this presentation, I describe the use of the Trinity platform for de novo transcriptome assembly and the differential gene expression pipeline integrated into Trinity software.
PhD
Gayane Barseghyan received her PhD in Evolutionary and Environmental Biology from the Institute of Evolution, University of Haifa, Israel (2006-2010). In 2016, she was a postdoctoral fellow in the Department of Biological Sciences at the University of Montreal. She is a member of the editorial board of the International Journal of Medicinal Mushroom. Gayane Barseghyan has authored and co-autho…
University of Sherbrooke
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