ArticleBioinformatics (Oxford, England)2024
ViralWasm: a client-side user-friendly web application suite for viral genomics.
Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Biochef: a client-side WebAssembly-based workflow builder for genomic data analysis.BMC bioinformatics · 2026Article
- MultiVirusConsensus: an accurate and efficient open-source pipeline for identification and consensus sequence generation of multiple viruses from mixed samples.Bioinformatics advances · 2026Article
- Datamonkey 3: browser-native molecular evolution analysis.Frontiers in bioinformatics · 2026Article
- Insight Into the Nuclear and Mitochondrial Genome of the Caribbean King CrabEcology and evolution · 2025Article
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Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
motivationThe 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.
resultsWe 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 AND IMPLEMENTATION: The ViralWasm tool suite can be accessed at: https://niema-lab.github.io/ViralWasm.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.