ReSVidex

ReSVidex was developed by Marco Cacciabue and Stephanie Goya to implement the dynamic molecular classification of RSV according to Goya et al. Based on a machine learning classification model trained over the RSV G ectodomain nucleotide sequence, it allows the user to identify the RSV subtype, genotype, subgenotype and genetic lineage for each query sequence. If you want to test the app please go to https://cacciabue.shinyapps.io/resvidex/

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Fast Classification
Web App
Docker image available

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