Nature Reviews Genetics, Published online: 11 August 2025; doi:10.1038/s41576-025-00889-0Prompt-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.

Nature Reviews Genetics, Published online: 11 August 2025; doi:10.1038/s41576-025-00889-0Prompt-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.

Nature Reviews Genetics, Published online: 11 August 2025; doi:10.1038/s41576-025-00889-0Prompt-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.

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