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/
Features
- Fast Classification
- Web App
- Docker image available
Other Useful Business Software
$300 Free Credits to Build on Google Cloud
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of ReSVidex!