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 Experiment Videos

Visualization of microarray results to assist interpretation.

Irene Papatheodorou1, Marek Sergot, Marty Randall

  • 1Department of Computing, Imperial College London, SW7 2AZ, UK.

Tuberculosis (Edinburgh, Scotland)
|June 23, 2004
PubMed
Summary
This summary is machine-generated.

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

Metabolomics profiling reveals changes in peptidoglycan and redox metabolism between ancient and modern <i>Mycobacterium tuberculosis</i>.

Microbiology spectrum·2026
Same author

scDenorm: a denormalization tool for integrating single-cell transcriptomics data.

GigaScience·2026
Same author

All roads lead to Rome: integrated physiological and transcriptomic analysis of cacao drought response reveals different ways to achieve tolerance in two hybrid clones.

Frontiers in plant science·2026
Same author

Crohn's lymphoid aggregates with endothelial clusters colocalise with submucosal fibrosis in fibrostenosing Crohn's disease.

The Journal of pathology·2026
Same author

First confirmation of Mycobacterium tuberculosis complex from medieval Ireland by aDNA analysis - palaeopathological and microbial findings.

Tuberculosis (Edinburgh, Scotland)·2025
Same author

Expression Atlas in 2026: enabling FAIR and open expression data through community collaboration and integration.

Nucleic acids research·2025
Same journal

Host-derived proteomic biomarkers for discriminating the tuberculosis disease spectrum in a Brazilian cohort.

Tuberculosis (Edinburgh, Scotland)·2026
Same journal

Association between gut microbiota and white matter microstructural damage in tuberculous meningitis patients.

Tuberculosis (Edinburgh, Scotland)·2026
Same journal

Context-dependent transcriptional and epigenetic reprogramming shapes neutrophil antimicrobial and immunoregulatory functions in tuberculosis.

Tuberculosis (Edinburgh, Scotland)·2026
Same journal

Discovery and identification of a handwritten laboratory notebook by Albert Calmette and Camille Guérin describing experimental studies and development of the BCG vaccine for tuberculosis at the Institut Pasteur.

Tuberculosis (Edinburgh, Scotland)·2026
Same journal

Delineating the potential of bioenergetics in drug discovery against Mycobacteriumabscessus.

Tuberculosis (Edinburgh, Scotland)·2026
Same journal

Association of vitamin D status with the immune response in active pulmonary tuberculosis patients with chronic pulmonary aspergillosis.

Tuberculosis (Edinburgh, Scotland)·2026
See all related articles

This study introduces GeneGraph, a novel tool for analyzing gene expression data from multiple experiments. It visualizes gene regulatory networks, aiding hypothesis generation for gene interactions.

Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • Whole genome microarrays generate extensive gene expression data under various conditions.
  • Current analysis tools struggle to integrate data from diverse experiments for network hypothesis generation.

Purpose of the Study:

  • To develop a novel method for analyzing and visualizing gene expression data from multiple experiments.
  • To facilitate hypothesis generation regarding gene regulatory network interactions.

Main Methods:

  • Utilized whole genome microarray data from Mycobacterium tuberculosis experiments.
  • Developed a system combining automated graph drawing (xneato) with a logic program for data clustering.
  • Created a web-based front-end for interactive exploration of graphical displays.

Related Experiment Videos

Main Results:

  • Successfully visualized gene expression data as directed graphs, revealing potential gene interactions.
  • Demonstrated the utility of the GeneGraph system in analyzing complex datasets.
  • Initiated the development of an inference system for gene interactions.

Conclusions:

  • GeneGraph provides a powerful tool for integrating and analyzing diverse gene expression datasets.
  • The visualization approach aids in understanding complex gene regulatory networks.
  • This method supports hypothesis generation and advances systems biology research.