How France became the unlikely home of the insect-farming industry

Pells, Rachael

doi:10.1038/d41586-023-00290-z

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…In the field of bioinformatics, ChatGPT serves as an instrumental aid for learning basic bioinformatics 4,5 . Several literatures offer recommendations on harnessing chatbots for more efficient data analysis [4][5][6][7][8][9][10] . Further evaluations, centering on biomedical text mining 11,12 , code generation 13,14 , and expertise in genomics/genetics [15][16][17] , underscore ChatGPT's potential to facilitate biomedical research.…”

Section: Introductionmentioning

confidence: 99%

Bioinformatics Illustrations Decoded by ChatGPT: The Good, The Bad, and The Ugly

Wang,

Ye,

Liu

et al. 2023

Preprint

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Emerging studies underscore the promising capabilities of large language model-based chatbots in conducting fundamental bioinformatics data analyses. The recent feature of accepting image-inputs by ChatGPT motivated us to explore its efficacy in deciphering bioinformatics illustrations. Our evaluation with examples in cancer research, including sequencing data analysis, multimodal network-based drug repositioning, and tumor clonal evolution, revealed that ChatGPT can proficiently explain different plot types and apply biological knowledge to enrich interpretations. However, it struggled to provide accurate interpretations when quantitative analysis of visual elements was involved. Furthermore, while the chatbot can draft figure legends and summarize findings from the figures, stringent proofreading is imperative to ensure the accuracy and reliability of the content.

show abstract

Section: Introductionmentioning

confidence: 99%

Bioinformatics Illustrations Decoded by ChatGPT: The Good, The Bad, and The Ugly

Wang,

Ye,

Liu

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In the field of bioinformatics, ChatGPT serves as an instrumental aid for learning basic bioinformatics 4,5 . Several literatures offer recommendations on harnessing the chatbot for more efficient data analysis [4][5][6][7][8][9][10][11][12] . Further evaluations, centering on biomedical text mining 13,14 , code generation 15,16 , and expertise in genomics/genetics [17][18][19] , underscore ChatGPT's potential to facilitate biomedical research.…”

mentioning

confidence: 99%

Scientific figures interpreted by ChatGPT: strengths in plot recognition and limits in color perception

Wang,

Ye,

Liu

et al. 2024

npj Precis. Onc.

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Emerging studies underscore the promising capabilities of large language model-based chatbots in conducting basic bioinformatics data analyses. The recent feature of accepting image inputs by ChatGPT, also known as GPT-4V(ision), motivated us to explore its efficacy in deciphering bioinformatics scientific figures. Our evaluation with examples in cancer research, including sequencing data analysis, multimodal network-based drug repositioning, and tumor clonal evolution, revealed that ChatGPT can proficiently explain different plot types and apply biological knowledge to enrich interpretations. However, it struggled to provide accurate interpretations when color perception and quantitative analysis of visual elements were involved. Furthermore, while the chatbot can draft figure legends and summarize findings from the figures, stringent proofreading is imperative to ensure the accuracy and reliability of the content.

show abstract

How France became the unlikely home of the insect-farming industry

Cited by 2 publications

References 3 publications

Bioinformatics Illustrations Decoded by ChatGPT: The Good, The Bad, and The Ugly

Bioinformatics Illustrations Decoded by ChatGPT: The Good, The Bad, and The Ugly

Scientific figures interpreted by ChatGPT: strengths in plot recognition and limits in color perception

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