Empowering beginners in bioinformatics with ChatGPT

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

doi:10.15302/J-QB-023-0327

Empowering beginners in bioinformatics with ChatGPT

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

Health Solutions, College of (CHS)

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

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.

Original language	English (US)
Pages (from-to)	105-108
Number of pages	4
Journal	Quantitative Biology
Volume	11
Issue number	2
DOIs	https://doi.org/10.15302/J-QB-023-0327
State	Published - Jun 2023

Keywords

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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10.15302/J-QB-023-0327

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title = "Empowering beginners in bioinformatics with ChatGPT",

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.",

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AU - Shue, Evelyn

AU - Liu, Li

AU - Li, Bingxin

AU - Feng, Zifeng

AU - Li, Xin

AU - Hu, Gangqing

N1 - Publisher Copyright: © The Author(s) 2023. Published by Higher Education Press.

PY - 2023/6

Y1 - 2023/6

N2 - 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.

AB - 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.

KW - ChatGPT

KW - bioinformatics

KW - education

KW - scientific data analysis

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Empowering beginners in bioinformatics with ChatGPT

Abstract

Keywords

ASJC Scopus subject areas

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