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This work introduces an AI-driven bioinformatics assistant using the Retrieval-Augmented Generation (RAG) technique to streamline genomic data analysis. The system integrates various biological databases, including PubMed and Ensembl, to retrieve relevant contextual information, which is then used to generate precise and well-structured responses using OpenAI GPT-4o model. By combining advanced AI techniques with structured biological data, the chatbot assists researchers in making informed decisions and generating new hypotheses.

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GSGO for Bioinformatics

  • 会议论文

  • 发表日期：

    2026年

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  • Mihai-Bogdan Petre,
  • Marius-Sabin Tăbîrcă

摘要

This work introduces an AI-driven bioinformatics assistant using the Retrieval-Augmented Generation (RAG) technique to streamline genomic data analysis. The system integrates various biological databases, including PubMed and Ensembl, to retrieve relevant contextual information, which is then used to generate precise and well-structured responses using OpenAI GPT-4o model. By combining advanced AI techniques with structured biological data, the chatbot assists researchers in making informed decisions and generating new hypotheses.