Large Language Models in Bioinformatics: A Survey
Journal:
arXiv
Published Date:
Mar 6, 2025
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.
