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arXiv · 2503.04490

Large Language Models in Bioinformatics: A Survey

Zhenyu Wang·Zikang Wang·Jiyue Jiang·Pengan Chen·Xiangyu Shi·Yu Li
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Abstract

Large Language Models (LLMs) are revolutionizing bioinformatics, enabling advanced analysis of DNA, RNA, proteins, and single-cell data. This survey provides a systematic review of recent advancements, focusing on genomic sequence modeling, RNA structure prediction, protein function inference, and single-cell transcriptomics. Meanwhile, we also discuss several key challenges, including data scarcity, computational complexity, and cross-omics integration, and explore future directions such as multimodal learning, hybrid AI models, and clinical applications. By offering a comprehensive perspective, this paper underscores the transformative potential of LLMs in driving innovations in bioinformatics and precision medicine.

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Zhenyu Wang, Zikang Wang, Jiyue Jiang, Pengan Chen, Xiangyu Shi, Yu Li. 2025-03-06. Large Language Models in Bioinformatics: A Survey. https://arxiv.org/abs/2503.04490

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