Empowering beginners in bioinformatics with ChatGPT-Reference-Cited by-同舟云学术

Empowering beginners in bioinformatics with ChatGPT

Published:2023-06 Issue:2 Volume:11 Page:105-108
ISSN:2095-4689
Container-title:Quantitative Biology
language:en
Short-container-title:Quant. Biol.

Author:

Shue Evelyn¹,Liu Li²³,Li Bingxin⁴,Feng Zifeng⁵,Li Xin⁶,Hu Gangqing¹

Affiliation:

1. Department of Microbiology Immunology & Cell Biology West Virginia University Morgantown WV 26506 USA

2. College of Health Solutions Arizona State University Phoenix AZ 85004 USA

3. Biodesign Institute Arizona State University Tempe AZ 85281 USA

4. Finance Department John Chambers College of Business and Economics West Virginia University Morgantown WV 26506 USA

5. Department of Economics and Finance The University of Texas at El Paso El Paso TX 79902 USA

6. Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown WV 26506 USA

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.

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.15302/J-QB-023-0327

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