Empowering Beginners in Bioinformatics with ChatGPT

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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 ChatGPT in generating code for bioinformat...

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Detalles Bibliográficos
Autores principales: Shue, Evelyn, Liu, Li, Li, Bingxin, Feng, Zifeng, Li, Xin, Hu, Gangqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028953/
https://www.ncbi.nlm.nih.gov/pubmed/36945641
http://dx.doi.org/10.1101/2023.03.07.531414
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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 ChatGPT 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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spelling pubmed-100289532023-03-22 Empowering Beginners in Bioinformatics with ChatGPT Shue, Evelyn Liu, Li Li, Bingxin Feng, Zifeng Li, Xin Hu, Gangqing bioRxiv 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 ChatGPT 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. Cold Spring Harbor Laboratory 2023-03-08 /pmc/articles/PMC10028953/ /pubmed/36945641 http://dx.doi.org/10.1101/2023.03.07.531414 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.
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/PMC10028953/
https://www.ncbi.nlm.nih.gov/pubmed/36945641
http://dx.doi.org/10.1101/2023.03.07.531414
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