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Empowering beginners in bioinformatics with ChatGPT
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 bioinformat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299548/ https://www.ncbi.nlm.nih.gov/pubmed/37378043 http://dx.doi.org/10.15302/j-qb-023-0327 |
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author | Shue, Evelyn Liu, Li Li, Bingxin Feng, Zifeng Li, Xin Hu, Gangqing |
author_facet | Shue, Evelyn Liu, Li Li, Bingxin Feng, Zifeng Li, Xin Hu, Gangqing |
author_sort | Shue, Evelyn |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10299548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
spelling | pubmed-102995482023-06-27 Empowering beginners in bioinformatics with ChatGPT Shue, Evelyn Liu, Li Li, Bingxin Feng, Zifeng Li, Xin Hu, Gangqing Quant Biol Article 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. 2023-06 2023-03-31 /pmc/articles/PMC10299548/ /pubmed/37378043 http://dx.doi.org/10.15302/j-qb-023-0327 Text en https://creativecommons.org/licenses/by/4.0/This article is licensed by the CC By under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shue, Evelyn Liu, Li Li, Bingxin Feng, Zifeng Li, Xin Hu, Gangqing Empowering beginners in bioinformatics with ChatGPT |
title | Empowering beginners in bioinformatics with ChatGPT |
title_full | Empowering beginners in bioinformatics with ChatGPT |
title_fullStr | Empowering beginners in bioinformatics with ChatGPT |
title_full_unstemmed | Empowering beginners in bioinformatics with ChatGPT |
title_short | Empowering beginners in bioinformatics with ChatGPT |
title_sort | empowering beginners in bioinformatics with chatgpt |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10299548/ https://www.ncbi.nlm.nih.gov/pubmed/37378043 http://dx.doi.org/10.15302/j-qb-023-0327 |
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