{"title":"基于提示的生物信息学:多组学分析的新界面","authors":"Ali R. Awan, Mehrdad Oveisi, Mohammad M. Karimi","doi":"10.1038/s41576-025-00889-0","DOIUrl":null,"url":null,"abstract":"Prompt-based bioinformatics redefines how scientists interact with biological data, enabling natural language queries across multi-omics layers. By removing coding barriers and streamlining integration, this paradigm facilitates accessible, hypothesis-driven discovery. We call for community standards, educational adoption and collaborative development to realize its full potential in research and clinical settings. Prompt-based methods, which involve the careful design of inputs to guide large language model (LLM) outputs, are beginning to reshape bioinformatic analytical workflows. The authors compare prompt-driven approaches to conventional bioinformatics pipelines, outline their potential for multi-omics analysis and explore how these models may shape the future of computational biology.","PeriodicalId":19067,"journal":{"name":"Nature Reviews Genetics","volume":"31 1","pages":""},"PeriodicalIF":52.0000,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prompt-based bioinformatics: a new interface for multi-omics analysis\",\"authors\":\"Ali R. Awan, Mehrdad Oveisi, Mohammad M. Karimi\",\"doi\":\"10.1038/s41576-025-00889-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Prompt-based bioinformatics redefines how scientists interact with biological data, enabling natural language queries across multi-omics layers. By removing coding barriers and streamlining integration, this paradigm facilitates accessible, hypothesis-driven discovery. We call for community standards, educational adoption and collaborative development to realize its full potential in research and clinical settings. Prompt-based methods, which involve the careful design of inputs to guide large language model (LLM) outputs, are beginning to reshape bioinformatic analytical workflows. The authors compare prompt-driven approaches to conventional bioinformatics pipelines, outline their potential for multi-omics analysis and explore how these models may shape the future of computational biology.\",\"PeriodicalId\":19067,\"journal\":{\"name\":\"Nature Reviews Genetics\",\"volume\":\"31 1\",\"pages\":\"\"},\"PeriodicalIF\":52.0000,\"publicationDate\":\"2025-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Genetics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1038/s41576-025-00889-0\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s41576-025-00889-0","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Prompt-based bioinformatics: a new interface for multi-omics analysis
Prompt-based bioinformatics redefines how scientists interact with biological data, enabling natural language queries across multi-omics layers. By removing coding barriers and streamlining integration, this paradigm facilitates accessible, hypothesis-driven discovery. We call for community standards, educational adoption and collaborative development to realize its full potential in research and clinical settings. Prompt-based methods, which involve the careful design of inputs to guide large language model (LLM) outputs, are beginning to reshape bioinformatic analytical workflows. The authors compare prompt-driven approaches to conventional bioinformatics pipelines, outline their potential for multi-omics analysis and explore how these models may shape the future of computational biology.
期刊介绍:
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