借助ChatGPT助力生物信息学初学者。
Empowering beginners in bioinformatics with ChatGPT.
作者信息
Shue Evelyn, Liu Li, Li Bingxin, Feng Zifeng, Li Xin, Hu Gangqing
机构信息
Department of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV 26506, USA.
College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA.
出版信息
Quant Biol. 2023 Jun;11(2):105-108. doi: 10.15302/j-qb-023-0327. Epub 2023 Mar 31.
Abstract
The impressive conversational and programming abilities of ChatGPT make it an attractive tool for facilitating the education of bioinformatics data analysis for beginners. In this study, we proposed an iterative model to fine-tune instructions for guiding a chatbot in generating code for bioinformatics data analysis tasks. We demonstrated the feasibility of the model by applying it to various bioinformatics topics. Additionally, we discussed practical considerations and limitations regarding the use of the model in chatbot-aided bioinformatics education.
摘要
ChatGPT令人印象深刻的对话和编程能力使其成为促进初学者生物信息数据分析教育的一个有吸引力的工具。在本研究中，我们提出了一个迭代模型，用于微调指导聊天机器人生成生物信息数据分析任务代码的指令。我们通过将该模型应用于各种生物信息学主题来证明其可行性。此外，我们还讨论了在聊天机器人辅助生物信息学教育中使用该模型的实际考虑因素和局限性。
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