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

Enhancing Clinical Reasoning in Surgical Education: A Randomized Crossover Trial on AI-Generated Individual Feedback for Key Feature Question-Based Online Assignments.

Journal of surgical education·2026
Same author

New insights into progenitor exhausted T cell populations.

Nature reviews. Immunology·2026
Same author

Reciprocal Relationship Between Cardiovascular Risk and Attainment of Blood Pressure and Cholesterol Targets in Users of a Mobile Health App.

High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension·2026
Same author

Generative AI for spatial tumor growth on MRI: a proof-of-principle study in pediatric diffuse midline glioma.

BMC medicine·2026
Same author

CD8 T Cell Sensing of Type I Interferon Impacts Anergy.

European journal of immunology·2026
Same author

Fully Anonymized Digital Health Data Acquisition in a Research Partnership Using a Blinded Deidentification Proxy in the HerzFit App: Implementation Study.

JMIR formative research·2026

Related Experiment Video

Updated: Jul 17, 2025

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
09:40

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer

Published on: August 2, 2024

2.7K

ePlatypus: an ecosystem for computational analysis of immunogenomics data.

Tudor-Stefan Cotet1, Andreas Agrafiotis1,2, Victor Kreiner1

  • 1Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel 4058, Switzerland.

Bioinformatics (Oxford, England)
|September 8, 2023
PubMed
Summary
This summary is machine-generated.

We developed ePlatypus, an open-source computational immunology ecosystem for analyzing immunogenomics data, including adaptive immune repertoires and single-cell sequencing. This platform enhances B and T cell clonal selection analysis and integrates diverse bioinformatics tools for deeper insights.

More Related Videos

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.2K
Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis
09:32

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Published on: October 15, 2021

12.2K

Related Experiment Videos

Last Updated: Jul 17, 2025

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
09:40

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer

Published on: August 2, 2024

2.7K
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.2K
Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis
09:32

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

Published on: October 15, 2021

12.2K

Area of Science:

  • Computational immunology
  • Immunogenomics
  • Systems immunology

Background:

  • Maturing systems immunology requires robust computational frameworks for integrating diverse data modalities.
  • Existing tools often lack transparency and reproducibility for complex immunogenomic analyses.

Purpose of the Study:

  • Introduce the ePlatypus computational immunology ecosystem.
  • Provide a transparent and reproducible framework for immunogenomics data analysis.
  • Facilitate the study of adaptive immune repertoires and single-cell sequencing data.

Main Methods:

  • Developed ePlatypus as an open-source, web-based platform.
  • Integrated diverse bioinformatics pipelines for single-cell immune repertoires.
  • Included programming tutorials and an integrative database.

Main Results:

  • ePlatypus enables elucidation of B and T cell clonal selection signatures.
  • The ecosystem links novel and established bioinformatics tools.
  • Facilitates analysis of ligand-receptor interactions, structural modeling, simulations, machine learning, graph theory, pseudotime, spatial transcriptomics, and phylogenetics.

Conclusions:

  • ePlatypus provides deeper insights into computational immunology and immunogenomics.
  • Promotes open science principles in the field.
  • Offers a comprehensive resource for researchers analyzing complex immune system data.