Ontology highlight
ABSTRACT: Background
De novo transcriptome assemblies are required prior to analyzing RNA sequencing data from a species without an existing reference genome or transcriptome. Despite the prevalence of transcriptomic studies, the effects of using different workflows, or "pipelines," on the resulting assemblies are poorly understood. Here, a pipeline was programmatically automated and used to assemble and annotate raw transcriptomic short-read data collected as part of the Marine Microbial Eukaryotic Transcriptome Sequencing Project. The resulting transcriptome assemblies were evaluated and compared against assemblies that were previously generated with a different pipeline developed by the National Center for Genome Research.Results
New transcriptome assemblies contained the majority
SUBMITTER: Johnson LK
PROVIDER: S-EPMC6481552 | biostudies-literature | 2019 Apr
REPOSITORIES: biostudies-literature