VODKA2: a fast and accurate method to detect non-standard viral genomes from large RNA-seq data sets

Detection of cbVG reads in SeV. (A) Representation of the break and rejoin positions of cbVG 546. (B,C) Representation of cbVG break and rejoin points reported by VODKA2 (pink), ViReMa (yellow), and DI-tector (blue). Size of each point is dependent on the number of detected reads at each break/rejoin species. (B) Overlay of all cbVGs detected across the whole genome by the three types of software. Red dots indicate false positives from DI-tector. (C) Zoom-in of species detected within positions 14,800 and 15,384 of the reference genome for each software. False positive reads are shown in red. Processing time of each software is shown in minutes.