Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Corrigendum: Down-regulation of microRNA-155 suppressed Candida albicans induced acute lung injury by activating SOCS1 and inhibiting inflammation response.

Journal of microbiology (Seoul, Korea)·2026
Same author

Clinodiside A, an active metabolite in Clinopodii herba, alleviates dextran-sulfate-sodium-induced ulcerative colitis.

Frontiers in pharmacology·2026
Same author

Impact of chronic comorbidities on psychological and social status in COVID-19 patients.

Frontiers in psychology·2026
Same author

Overview of Electromagnetic Interference Mechanisms and System-Level Effects in MHz-Range Wireless Charging for Electric Vehicle Applications.

Sensors (Basel, Switzerland)·2026
Same author

CitNAC71-CitNAC76 coordinate cellulose and hemicellulose biosynthesis to regulate high-temperature-mediated granulation in citrus.

The Plant cell·2026
Same author

[Combined assessment of gastric mucosal damage associated with <i>Helicobacter pylori</i> infection in children by virulence factors and pepsinogen].

Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics·2026

Related Experiment Video

Updated: Jul 28, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.2K

Cellenium-a scalable and interactive visual analytics app for exploring multimodal single-cell data.

Carsten Jahn1, Mahmoud Ibrahim2, Jannis Busch1

  • 1Scientific Solutions, Bayer AG, Berlin 13353, Germany.

Bioinformatics (Oxford, England)
|June 1, 2023
PubMed
Summary
This summary is machine-generated.

Cellenium is a new web application for analyzing multimodal single-cell sequencing data. It allows researchers to integrate, organize, and analyze RNA, ATAC, and CITE-seq studies interactively.

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.2K
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.5K

Related Experiment Videos

Last Updated: Jul 28, 2025

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.2K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.2K
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.5K

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Multimodal single-cell sequencing (scRNA, scATAC, scCITE) generates rich molecular biology data.
  • Analyzing these complex datasets requires advanced, interactive solutions for insight generation.

Purpose of the Study:

  • To present Cellenium, a scalable visual analytics web application.
  • To enable semantic integration and organization of diverse single-cell sequencing studies.
  • To facilitate interactive analysis of single-cell data within and across studies.

Main Methods:

  • Developed a web application integrating single-cell RNA, ATAC, and CITE-sequencing data.
  • Implemented interactive features for data exploration and cell annotation.
  • Utilized PostgreSQL, Python 3, GraphQL, ReactJS, TypeScript, and Plotly.js for development.

Main Results:

  • Cellenium enables users to semantically integrate and organize multiple single-cell sequencing studies.
  • The application supports interactive analysis of data within and across studies.
  • Users can add custom cell type annotations.

Conclusions:

  • Cellenium provides a powerful platform for comprehensive analysis of multimodal single-cell data.
  • The tool enhances the ability to derive biological insights from complex sequencing experiments.
  • Freely available source code and documentation promote accessibility and collaboration.