P0353
A New Streamlined Workflow for De Novo Transcriptome Assembly and Annotation in Non-Model Organisms

Matthew Keyser , DNASTAR, Inc., Madison, WI
De novo transcriptome assembly of NGS data sets from organisms with limited available genomic and transcriptomic reference sequences presents several significant challenges:  1) de novo assembly of large NGS data sets requires massive amounts of memory; 2) managing tens of thousands of output contigs is difficult and error-prone; 3) identification and annotation of assembled mRNAs is arduous and time consuming.  DNASTAR is offering a new de novo transcriptome assembly and annotation solution as part of its integrated software suite that provides de novo assembly of the largest transcriptomic data sets, producing full-length and accurate mRNA sequences, with minimal RAM requirements (<16GB). In addition, the software provides the ability to view and edit assembled contigs and automates identification and annotation of assembled mRNA sequences. By utilizing this workflow, users can quickly create mRNA reference gene sets for their non-model organisms.