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Updated: Apr 8, 2026

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
Published on: January 7, 2020
OMICX: An AI-powered web platform for integrative analysis of multi-condition single-cell transcriptomics data
Yue Fan1, Jin Ning1, Long Wang1
1Center for Single-Cell Omics and Health, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, Shaanxi, PR China; Collaborative Innovation Center of Endemic Diseases and Health Promotion in Silk Road Region and NHC Key Laboratory of Environment and Endemic Diseases, Xi'an Jiaotong University, Xi'an 710061, Shaanxi, PR China.
Abstract:
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.

