1. VIGA: a sensitive, precise and automatic de novo VIral Genome Annotator
- Author
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Sean Sutton Td, Velayudhan, Colin Hill, Lorraine A. Draper, Andrey N. Shkoporov, R.P. Ross, Enrique González-Tortuero, and Stockdale
- Subjects
Viral metagenomics ,ComputingMethodologies_PATTERNRECOGNITION ,Viral genomes ,viruses ,ComputerApplications_COMPUTERSINOTHERSYSTEMS ,Genomics ,Genome project ,Computational biology ,Biology ,Genome - Abstract
Viral (meta)genomics is a rapidly growing field of study that is hampered by an inability to annotate the majority of viral sequences; therefore, the development of new bioinformatic approaches is very important. Here, we present a new automatic de novo genome annotation pipeline, called VIGA, to annotate prokaryotic and eukaryotic viral sequences from (meta)genomic studies. VIGA was benchmarked on a database of known viral genomes and a viral metagenomics case study. VIGA generated the most accurate outputs according to the number of coding sequences and their coordinates, outputs also had a lower number of non-informative annotations compared to other programs.
- Published
- 2018
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