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The Viral Opensource DVG Key Algorithm2 (VODKA2) identifies copy-back non-standard genome's and deletion non-standard viral genome's junction regions within RNA-seq datasets.
The Viral Opensource DVG Key Algorithm2 (VODKA2) identifies copy-back non-standard genome's and deletion non-standard viral genome's junction regions within RNA-seq datasets.
VODKA’s performance was tested in positive and negative strand viruses and detects copy-back DVGs with great sensitivity.
VODKA’s performance was tested in positive and negative strand viruses and detects copy-back DVGs with great sensitivity.
Figure shows the alignment of SeV copy-back DVGS identified using VODKA to the SeV genome (top) and the cbDVG-546, the primary cbDVG in SeV strain Cantell (bottom)
VODKA was originally developed by collaborators Eun Ji Kim and Gregory Grant @Penn ITMAT
VODKA was originally developed by collaborators Eun Ji Kim and Gregory Grant @Penn ITMAT
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