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OMICX: An AI-powered web platform for integrative analysis of multi-condition single-cell transcriptomics data

  • Xi'an Jiaotong University
  • University of Pittsburgh
  • Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province

科研成果: 期刊稿件文章同行评审

摘要

Here, we introduce OMICX, an interactive, code-free web platform powered by a large language model (LLM) assistant, OMICX-Agent. This intelligent agent enables users to conduct comprehensive single-cell data analyses through natural language conversations, making advanced bioinformatics accessible to all. OMICX-Agent guides users through standard scRNA-seq processing workflows, multi-sample and multi-condition analyses, and integrative studies combining single-cell data with bulk RNA-seq or GWAS summary statistics. We demonstrate OMICX's versatility across three real-world case studies, showcasing its applications in an integrative analysis of scRNA-seq and GWAS summary data; an integrative analysis of scRNA-seq and bulk RNA-seq data; complex multi-condition scRNA-seq data analysis. Designed with usability and reproducibility in mind, OMICX empowers researchers to extract biological insights with ease and confidence. The platform is freely available at https://sqsun.github.io/software.html .

源语言英语
文章编号111243
期刊Genomics
118
3
DOI
出版状态已出版 - 5月 2026

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