ReSVidex

Brought to you by: marcocacciabue

Downloads: 0 This Week

Last Update: 2021-12-28

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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
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2021-12-28

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Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.

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