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RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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OmniCellX: A Versatile and Comprehensive Browser-Based Tool for Single-Cell RNA Sequencing Analysis.

Renwen Long1,2, Tina Suoangbaji1,2, Daniel Wai-Hung Ho1,2

  • 1State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong, China.

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|October 29, 2025
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OmniCellX simplifies single-cell RNA sequencing (scRNA-seq) analysis with an accessible, scalable tool. It empowers researchers to easily explore cellular heterogeneity and advance biomedical discoveries.

Keywords:
analysis toolgraphical user interfaceintegrative analysisscRNA-seqvisualization tool

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Area of Science:

  • Genomics
  • Computational Biology
  • Bioinformatics

Background:

  • Single-cell RNA sequencing (scRNA-seq) offers deep insights into cellular heterogeneity.
  • Analyzing scRNA-seq data presents significant challenges in accessibility, scalability, and usability for researchers.

Purpose of the Study:

  • To introduce OmniCellX, a user-friendly, browser-based platform designed to streamline scRNA-seq data analysis.
  • To address the technical barriers and complexity associated with scRNA-seq data interpretation.

Main Methods:

  • OmniCellX utilizes a Docker-based installation for straightforward deployment on various computing environments.
  • The platform offers dual-mode operation: comprehensive analysis of raw data and interactive visualization of pre-analyzed data.
  • It supports multiple input formats and employs memory-efficient structures for handling large-scale datasets (millions of cells).

Main Results:

  • OmniCellX integrates a wide array of analytical tools, including preprocessing, dimensionality reduction, clustering, differential expression, and trajectory inference.
  • The tool provides flexible parameter adjustment and extensive documentation, catering to users of all skill levels.
  • It successfully handles large scRNA-seq datasets, demonstrating scalability and efficiency.

Conclusions:

  • OmniCellX provides a powerful yet intuitive solution for single-cell data analysis, democratizing access to complex genomic insights.
  • The platform's versatility and scalability make it a valuable asset for advancing research in cellular heterogeneity and biomedical science.