Related papers: Large Language Models in Bioinformatics: A Survey

Large Language Models in Bioinformatics: A Survey

URL: http://arxiv.org/abs/2503.04490v1
Date: Thu, 06 Mar 2025 14:38:20 GMT
Title: Large Language Models in Bioinformatics: A Survey
Authors: Zhenyu Wang, Zikang Wang, Jiyue Jiang, Pengan Chen, Xiangyu Shi, Yu Li,
Abstract summary: Large Language Models (LLMs) are revolutionizing bioinformatics, enabling advanced analysis of DNA, RNA, proteins, and single-cell data.<n>This survey provides a systematic review of recent advancements, focusing on genomic sequence modeling, RNA structure prediction, protein function inference, and single-cell transcriptomics.
Score: 13.722344139230827
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
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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