Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Epistasis Analysis

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...

Statistical Software for Data Analysis and Clinical Trials

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...

You might also read

Related Articles

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

Sort by

Same author

Integrated multi-omic profiling reveals two distinct splenic marginal zone lymphoma subgroups with prognostic relevance.

Blood advances·2026

Same author

Mutant IDH1 blocks neutropoiesis by repressing myeloid progenitor programs.

Blood·2026

Same author

GLYATL1 is associated with metabolic and epigenetic changes and with endocrine resistance in luminal breast cancer.

Clinical epigenetics·2026

Same author

ID3 deficiency alters chromatin accessibility at DSB sites and enhances vulnerability to HDAC inhibition.

International journal of cancer·2026

Same author

Epigenetic dysregulation of IRF9 drives excessive interferon signaling in COPD.

EMBO molecular medicine·2026

Same author

Happy birthday IJC.

International journal of cancer·2026

Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026

Same journal

SpaMFG: a Spatial Multi-omics Integration Method based on Feature Grouping.

Bioinformatics (Oxford, England)·2026

Same journal

CSCN: Inference of Cell-Specific Causal Networks Using Single-Cell RNA-Seq Data.

Bioinformatics (Oxford, England)·2026

Same journal

Sparse CCA-Based Mediation Analysis with High-Dimensional Exposures and Mediators.

Bioinformatics (Oxford, England)·2026

Same journal

Enhancing Cross-Context Generalization in Drug Perturbation Prediction with a Multimodal Conditional Diffusion Framework.

Bioinformatics (Oxford, England)·2026

Same journal

Primer Design through Submodular Function Estimation.

Bioinformatics (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 9, 2026

Extraction of Histones from Clinical Specimens for Epigenetic Profiling by Mass Spectrometry

Extraction of Histones from Clinical Specimens for Epigenetic Profiling by Mass Spectrometry

Published on: November 21, 2025

Enrichment analysis with EpiAnnotator.

Yoann Pageaud¹, Christoph Plass¹, Yassen Assenov^1,2

¹Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.

Bioinformatics (Oxford, England)

|January 13, 2018

Summary

This summary is machine-generated.

EpiAnnotator simplifies epigenomic data analysis by providing a user-friendly tool for enrichment analysis. This R package and web interface offer access to updated functional annotations, making biological insights more accessible.

More Related Videos

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model

Published on: February 28, 2018

Related Experiment Videos

Last Updated: Jan 9, 2026

Extraction of Histones from Clinical Specimens for Epigenetic Profiling by Mass Spectrometry

Extraction of Histones from Clinical Specimens for Epigenetic Profiling by Mass Spectrometry

Published on: November 21, 2025

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model

Published on: February 28, 2018

Area of Science:

Computational Biology
Genomics
Bioinformatics

Background:

Extracting biological insights from epigenomic data is complex.
Enrichment analysis is a common method, but requires significant technical expertise and resources.
Existing tools for functional annotation are often difficult to access and utilize.

Purpose of the Study:

To introduce EpiAnnotator, an online tool designed for fast and user-friendly enrichment analyses of epigenomic data.
To streamline the process of accessing and applying functional annotations from public databases.

Main Methods:

EpiAnnotator is an R package with an accompanying web interface.
It integrates regularly updated annotations from Blueprint, RoadMap, GENCODE, and UCSC Genome Browser.
Users upload region sets, and results are visualized in customizable figures.

Main Results:

EpiAnnotator provides access to thousands of tracks across human and mouse genomes.
The tool simplifies the process of performing enrichment analyses on epigenomic data.
Results are presented in an interpretable and customizable graphical format.

Conclusions:

EpiAnnotator significantly lowers the barrier to entry for epigenomic data analysis.
It offers a powerful yet accessible solution for researchers seeking biological insights from epigenomic datasets.
The open-source nature and web accessibility enhance its utility for the scientific community.