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Transformer-based deep learning for multiclass viral classification in metagenomic sequencing

2026-02-23

Abstract excerpt

<title>Abstract</title> <p> Identifying viruses within metagenomic data remains a central challenge in computational biology. With the threat of infectious diseases, such as the recent COVID-19 pandemic, early and accurate pathogen detection becomes critical. Alignment-based methods such as BLAST are limited by their high computational cost and limited ability to detect highly divergent or novel viral genomes. W...

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Literature Corpus work
3b7db7f8-694c-58a0-a90a-5da6c852a288
DOI
10.21203/rs.3.rs-8725749/v1
Open publication

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