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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

You might also read

Related Articles

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

Sort by
Same author

Chemically induced skin tumors arise from long-lived stem cells of the upper hair follicle.

Science (New York, N.Y.)·2026
Same author

Tumour promotion through the lens of evolution.

Nature·2026
Same author

Evaluation of BoostDM, a somatic variant prediction tool, for the interpretation of germline variants in hereditary cancer genes.

European journal of human genetics : EJHG·2026
Same author

Sex and smoking bias in the selection of somatic mutations in human bladder.

Nature·2025
Same author

Recurrent Immunogenic Neoantigens and Their Cognate T-cell Receptors in Treatment-Resistant Metastatic Prostate Cancer.

Cancer discovery·2025
Same author

Oncodrive3D: fast and accurate detection of structural clusters of somatic mutations under positive selection.

Nucleic acids research·2025
Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026
Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026
Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026
Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026
Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jun 1, 2026

Mapping Mammalian 3D Genome Interactions with Micro-C-XL
11:41

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

Gitools: analysis and visualisation of genomic data using interactive heat-maps.

Christian Perez-Llamas1, Nuria Lopez-Bigas

  • 1Research Unit on Biomedical Informatics, Department of Experimental and Health Sciences, University Pompeu Fabra, Barcelona, Spain.

Plos One
|May 24, 2011
PubMed
Summary
This summary is machine-generated.

Gitools offers an open-source solution for visualizing genomic data using interactive heat-maps. This tool aids researchers in analyzing and comparing multiple conditions, integrating diverse biological datasets for enhanced insights.

More Related Videos

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
10:40

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Related Experiment Videos

Last Updated: Jun 1, 2026

Mapping Mammalian 3D Genome Interactions with Micro-C-XL
11:41

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
10:40

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Area of Science:

  • Genomics
  • Bioinformatics
  • Data Visualization

Background:

  • Effective visualization of genomic data is crucial for analyzing numerous conditions.
  • Heat-maps are a valuable method for representing biological data.

Purpose of the Study:

  • To introduce Gitools, an open-source tool for genomic data analysis and visualization.
  • To provide interactive heat-map capabilities for exploring complex biological datasets.

Main Methods:

  • Development of an open-source software tool named Gitools.
  • Implementation of interactive heat-map visualization features.
  • Integration of data import systems from various biological databases (IntOGen, Biomart, KEGG, Gene Ontology).

Main Results:

  • Gitools enables intuitive visualization of genomic data and analysis results.
  • The tool facilitates the integration of new data with existing biological knowledge.
  • Interactive heat-maps allow for effective comparison across multiple experimental conditions.

Conclusions:

  • Gitools provides a powerful and accessible platform for genomic data analysis.
  • The tool enhances the understanding of complex biological data through interactive visualization.
  • Facilitates data integration and comparative analysis in genomics research.