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

Genetic Screens02:46

Genetic Screens

5.2K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.2K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.4K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.4K
DNA Microarrays02:34

DNA Microarrays

19.0K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
19.0K

You might also read

Related Articles

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

Sort by
Same author

Pan-cell type continuous chromatin state annotation of all epigenomes from the International Human Epigenome Consortium.

Genome biology·2026
Same author

Integrative chromatin state annotation of 234 human ENCODE4 cell types using Segway.

Genome research·2025
Same author

VSS-Hi-C: variance-stabilized signals for chromatin contacts.

Bioinformatics (Oxford, England)·2024
Same author

Entropic Graph-based Posterior Regularization.

JMLR workshop and conference proceedings·2024
Same author

Robust chromatin state annotation.

Genome research·2024
Same author

Obtaining genetics insights from deep learning via explainable artificial intelligence.

Nature reviews. Genetics·2022
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

Related Experiment Video

Updated: Oct 15, 2025

Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

5.2K

SigTools: exploratory visualization for genomic signals.

Shohre Masoumi1, Maxwell W Libbrecht1, Kay C Wiese1

  • 1School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada.

Bioinformatics (Oxford, England)
|October 31, 2021
PubMed
Summary
This summary is machine-generated.

SigTools is a new R package for visualizing genomic signals, aiding in data exploration and interpretation for genomic studies. It offers plots to understand genomic data characteristics and includes a web application for broader accessibility.

More Related Videos

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

7.7K
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

2.3K

Related Experiment Videos

Last Updated: Oct 15, 2025

Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

5.2K
Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

7.7K
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

2.3K

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Genomic sequencing technologies generate vast datasets, including genomic signals like short-read coverage.
  • Understanding genomic signal characteristics is crucial for evaluating genomic study results.

Purpose of the Study:

  • To introduce SigTools, an R package for genomic signal visualization.
  • To facilitate exploration and interpretation of genomic signals for model development.
  • To provide accessible tools for users with varying technical expertise.

Main Methods:

  • Developed an R-based package named SigTools.
  • Included distribution and autocorrelation plots for genomic signal exploration.
  • Incorporated correlation and aggregation plots for genomic signal interpretation.
  • Created a companion web application, SigTools-Shiny, for GUI-based access.

Main Results:

  • SigTools facilitates genomic signal exploration through various plots.
  • SigTools aids in genomic signal interpretation.
  • SigTools-Shiny enhances accessibility for users preferring graphical interfaces.

Conclusions:

  • SigTools provides essential tools for analyzing genomic signals.
  • The package and its web application improve the understanding and utilization of genomic data.
  • SigTools is freely available, promoting wider adoption in genomic research.