Abstract
The year 2023 marked a significant surge in the exploration of applying large language model chatbots, notably Chat Generative Pre-trained Transformer (ChatGPT), across various disciplines. We surveyed the application of ChatGPT in bioinformatics and biomedical informatics throughout the year, covering omics, genetics, biomedical text mining, drug discovery, biomedical image understanding, bioinformatics programming, and bioinformatics education. Our survey delineates the current strengths and limitations of this chatbot in bioinformatics and offers insights into potential avenues for future developments.
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CITATION STYLE
Wang, J., Cheng, Z., Yao, Q., Liu, L., Xu, D., & Hu, G. (2024, December 1). Bioinformatics and biomedical informatics with ChatGPT: Year one review. Quantitative Biology. John Wiley and Sons Inc. https://doi.org/10.1002/qub2.67
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