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vir2vec: A Viral Genome-Wide Viral Embedding

2025-12-13

Abstract excerpt

Genomic language models (gLMs) have recently emerged as powerful numerical surrogates for DNA, but existing architectures are largely focused on human DNA or trained on limited viral references, and no dedicated benchmark currently exists for viral genome understanding. Here we introduce vir2vec, a 422-million-parameter, decoder-only gLM obtained by continual pretraining of Mistral-DNA on a rigorously curated pan-...

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Literature Corpus work
92812cbe-31de-5a70-9df8-3181c8603550
DOI
10.64898/2025.12.12.693901
Open publication

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vir2vec: A Viral Genome-Wide Viral EmbeddingDOI 10.64898/2025.12.12.693901
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