Story perspectives

Revolutionary Genome Analysis Unveils Virus Realms with GBGA

12/20/2025

Summary

Story summary

The process analyzes user genomes with vConTACT3 and clusters them into five protein cluster profiles based on varying identities.
A distance matrix is created for each profile and converted into a genome-annotated network.
The network is filtered and repaired to improve accuracy, then the guilt-by-genome-association (GBGA) assigner predicts virus realms.
GBGA aggregates predictions into final realms, which are compared with reference sequences to compute performance metrics and generate user-friendly outputs.

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Story summary

The process analyzes user genomes with vConTACT3 and clusters them into five protein cluster profiles based on varying identities.
A distance matrix is created for each profile and converted into a genome-annotated network.
The network is filtered and repaired to improve accuracy, then the guilt-by-genome-association (GBGA) assigner predicts virus realms.
GBGA aggregates predictions into final realms, which are compared with reference sequences to compute performance metrics and generate user-friendly outputs.