Sensitive Detection of Viral Transcripts in Human Tumor Transcriptomes
Figure 2
Detection of divergent viruses.
Performance comparison of Virana, CaPSID, and RINS at detecting viral reads at different rates of simulated sequence divergence among a background set comprising human genomic reads. The background set without any spike-ins of viral reads serves as negative control. Left panel: stacked bars represent absolute numbers of detected reads grouped by sequence divergence, correctness of classification (TP: true positive, FP: false positive), and detection method. Falsely classified reads not assigned to any of the viral families present in the validation are labeled as false positives (FP). Colored segments indicate to which viral families the reads were assigned. Each condition allowed for the correct detection of up to reads. Right panel: color coded markers for each condition and detection method indicating which viral families were identified. A maximum number of
viral families could be correctly identified in each condition.