Daniel Ji, Robert Aboukhalil, Niema Moshiri

ViralWasm: a client-side user-friendly web application suite for viral genomics

  • Computational Mathematics
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Molecular Biology
  • Biochemistry
  • Statistics and Probability
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Abstract Motivation The genomic surveillance of viral pathogens such as SARS-CoV-2 and HIV-1 has been critical to modern epidemiology and public health, but the use of sequence analysis pipelines requires computational expertise, and web-based platforms require sending potentially sensitive raw sequence data to remote servers. Results We introduce ViralWasm, a user-friendly graphical web application suite for viral genomics. All ViralWasm tools utilize WebAssembly to execute the original command line tools client-side directly in the web browser without any user setup, with a cost of just 2-3x slowdown with respect to their command line counterparts. Availability The ViralWasm tool suite can be accessed at: https://niema-lab.github.io/ViralWasm Contact niema@ucsd.edu Supplementary information Supplementary data are available at Bioinformatics online.

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