DisCVR is a viral detection tool which allows the identification of known human viruses in clinical samples from high-throughput sequencing (HTS) data. It uses the k-mers approach in which the sample reads are decomposed into k-mers and then matched against a virus k-mers database. The built-in database is a list consists of all k-mers (k=22) that are not low-complexity and only found in the viral genomes but not in the human genome. Each k-mer is assigned the taxonomic label of all viral genomes that contain that k-mer in the NCBI taxonomy tree. These assignments are made at the species and strains taxonomic level.
DisCVR has a user-friendly Graphical User Interface (GUI) which runs the analysis on the sample and shows the results interactively. It enables the visualisation of the coverage of the virus genomes found in the sample in order to validate the significance of the results. In addition, DisCVR is a generic tool which can be used with other non-human viruses by facilitating the build and use of customised kmers database.
DisCVR is designed to run on machines with low processing capacity and small memory.
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