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. 

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)

Further description and example data can be seen HERE.

VODKA was originally developed by collaborators Eun Ji Kim and Gregory Grant @Penn ITMAT