Empowering beginners in bioinformatics with ChatGPT

Evelyn Shue, Li Liu, Bingxin Li, Zifeng Feng, Xin Li, Gangqing Hu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)105-108
Number of pages4
JournalQuantitative Biology
Issue number2
StatePublished - Jun 2023


  • ChatGPT
  • bioinformatics
  • education
  • scientific data analysis

ASJC Scopus subject areas

  • Modeling and Simulation
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computer Science Applications
  • Applied Mathematics


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