Viral MetaGenome Annotation Pipeline (VMGAP)
Author Information
Author(s): Lorenzi Hernan A., Hoover Jeff, Inman Jason, Safford Todd, Murphy Sean, Kagan Leonid, Williamson Shannon
Primary Institution: J. Craig Venter Institute
Hypothesis
The VMGAP pipeline improves the functional annotation of viral metagenomic data.
Conclusion
The VMGAP can assign functions to significantly more viral sequences compared to existing tools like MG-RAST.
Supporting Evidence
- The VMGAP assigned almost 16% more functional names to viral sequences compared to MG-RAST.
- VMGAP incorporates specialized databases for better functional annotation.
- Results from VMGAP can be imported into JCVI Metagenomic Reports for further analysis.
Takeaway
The VMGAP is a tool that helps scientists understand viruses better by giving names to their genes, making it easier to study them.
Methodology
The VMGAP uses a multi-step process involving database searches and functional assignments to annotate viral metagenomic datasets.
Limitations
The pipeline's performance may be affected by the quality of input data and the availability of relevant databases.
Digital Object Identifier (DOI)
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