Empowering beginners in bioinformatics with ChatGPT

作者：Evelyn Shue, Li Liu, Bingxin Li, Zifeng Feng, Xin Li, Gangqing Hu · 发表于：Quantitative Biology · 年份：2023 · DOI：10.15302/j-qb-023-0327 · 被引用次数：64 · 研究领域：Genetics, Bioinformatics, and Biomedical Research、Genomics and Rare Diseases

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.