Article

Application of large language models to the annotation of cell lines and mouse strains in genomics data

2026-03-07

Abstract excerpt

Accurate, consistent and comprehensive metadata are essential for the reuse of functional genomics data deposited in repositories such as the Gene Expression Omnibus (GEO), however, achieving this often requires careful manual curation that is time-consuming, costly and prone to errors. In this paper, we evaluate the performance of Large Language Models (LLMs), specifically OpenAI’s GPT-4o, as an assistive tool fo...

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Literature Corpus work: 5e1414b5-4cd0-5ccc-9671-1ef6b5b9cc0a
DOI: 10.64898/2026.03.05.709906

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