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

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Authors: Yue Fan, Jin Ning, Long Wang, Sheng Yang, Shiquan Sun
Cited by: 1
References: 46

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.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Genomics and Phylogenetic Studies Gene expression and cancer classification

Publication details

Journal / source
Genomics
Publisher
Elsevier BV
Volume
118
Issue
3
Pages
111243–111243
Publication date
4 April 2026
Language
EN