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Related Experiment Video

Updated: Feb 8, 2026

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy
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iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data.

Mitulkumar V Patel1

  • 1Immunocore Ltd, Abingdon, Oxfordshire, UK.

Bioinformatics (Oxford, England)
|July 9, 2018
PubMed
Summary
This summary is machine-generated.

iS-CellR is a user-friendly, web-based application for comprehensive single-cell RNA sequencing analysis. This tool requires no programming skills and runs on any web browser, making complex data analysis accessible.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Single-cell RNA sequencing (scRNA-seq) generates complex, high-dimensional datasets.
  • Analyzing scRNA-seq data typically requires significant programming expertise.
  • There is a need for accessible tools to democratize scRNA-seq data analysis.

Purpose of the Study:

  • To develop an interactive, web-based platform for user-friendly scRNA-seq data analysis.
  • To provide a comprehensive suite of tools for analyzing scRNA-seq data without coding.
  • To enhance accessibility of scRNA-seq analysis for researchers without computational backgrounds.

Main Methods:

  • Development of a Shiny web application named iS-CellR.
  • Implementation using Docker for cross-platform compatibility.
  • Design of a graphical user interface (GUI) for intuitive data manipulation.

Main Results:

  • iS-CellR offers a comprehensive analysis pipeline for scRNA-seq data.
  • The platform is accessible via any modern web browser.
  • Users can perform complex analyses without prior programming knowledge.

Conclusions:

  • iS-CellR democratizes single-cell RNA sequencing data analysis.
  • The platform provides an accessible and user-friendly solution for researchers.
  • iS-CellR facilitates broader adoption and utilization of scRNA-seq technologies.