Re-assembly, quality evaluation, and annotation of 678 microbial eukaryotic reference transcriptomes
Author(s) -
Lisa K. Johnson,
Harriet Alexander,
C. Titus Brown
Publication year - 2018
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giy158
Subject(s) - annotation , transcriptome , computational biology , computer science , quality (philosophy) , information retrieval , eukaryotic cell , biology , genetics , artificial intelligence , gene , gene expression , philosophy , epistemology
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.
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