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April 28, 2025iMetaOpen Access

Comprehensive analysis of multi‐omics single‐cell data using the single‐cell analyst

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Authors

LPLu PanBTBufu TangXZXuan Zhang

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Overview

Computational platform evaluation reveals streamlined multi-omics and spatial transcriptomics analysis without coding requirements, indicating broader accessibility for single-cell research.

Key Points

  • To develop a user-friendly, web-based platform that automates multi-omics single-cell and spatial data analysis for researchers lacking advanced programming expertise.
  • Engineered Single-Cell Analyst, an online and offline platform that accepts six single-cell omics modalities, including scRNA-seq, scATAC-seq, immune profiling, copy number variation, CyTOF, flow cytometry, and spatial transcriptomics.
  • Automated critical pipelines including quality control, data normalization, phenotype-specific analysis, and visualization through more than 20 interactive modules.
  • Enables integrated multi-omics and spatial data workflows without manual coding or specialized computational infrastructure.
  • Processes small to large single-cell datasets within minutes to hours while producing publication-ready visual outputs.

Cite This Study

Pan et al. (2025) studied this question.

synapsesocial.com/papers/6a8c3853eada60f85de3df6fhttps://doi.org/10.1002/imt2.70038
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