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

DRAGON and DRAGON view: information annotation and visualization tools for large-scale expression data.

Christopher M L S Bouton1, Jonathan Pevsner

  • 1LION Bioscience Research, Cambridge, Massachusetts, USA.

Current Protocols in Bioinformatics
|April 23, 2008
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

Dysfunction of mitochondria and GABAergic interneurons in the anterior cingulate cortex of individuals with schizophrenia.

Neuroscience research·2022
Same author

Endothelial <i>GNAQ</i> p.R183Q Increases ANGPT2 (Angiopoietin-2) and Drives Formation of Enlarged Blood Vessels.

Arteriosclerosis, thrombosis, and vascular biology·2021
Same author

A novel somatic mutation in GNB2 provides new insights to the pathogenesis of Sturge-Weber syndrome.

Human molecular genetics·2021
Same author

Comprehensive identification of somatic nucleotide variants in human brain tissue.

Genome biology·2021
Same author

The case for open science: rare diseases.

JAMIA open·2021
Same author

Characterization of an unbalanced translocation causing 3q28qter duplication and 10q26.2qter deletion in a patient with global developmental delay and self-injury.

Cold Spring Harbor molecular case studies·2020
Same journal

Protein Sequence Analysis Using the MPI Bioinformatics Toolkit.

Current protocols in bioinformatics·2020
Same journal

Exploring Manually Curated Annotations of Intrinsically Disordered Proteins with DisProt.

Current protocols in bioinformatics·2020
Same journal

Network Building with the Cytoscape BioGateway App Explained in Five Use Cases.

Current protocols in bioinformatics·2020
Same journal

Expanding the Perseus Software for Omics Data Analysis With Custom Plugins.

Current protocols in bioinformatics·2020
Same journal

Exploring Non-Coding RNAs in RNAcentral.

Current protocols in bioinformatics·2020
Same journal

How to Illuminate the Dark Proteome Using the Multi-omic OpenProt Resource.

Current protocols in bioinformatics·2020
See all related articles

The DRAGON database system integrates gene expression data with biological information for deeper insights. Its tools facilitate analysis and visualization of gene expression patterns linked to biological characteristics.

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Large-scale gene expression datasets require comprehensive annotation for meaningful analysis.
  • Existing tools often lack integrated biological context for expression data.
  • Publicly available databases offer rich but fragmented gene information.

Purpose of the Study:

  • To develop an integrated database system (DRAGON) for referencing array genes.
  • To provide tools for annotating and analyzing gene expression data with biological characteristics.
  • To enable deeper insights into gene expression patterns through integrated analysis.

Main Methods:

  • The DRAGON system integrates data from UniGene, SWISS-Prot, Pfam, and KEGG.
  • The DRAGON Annotate tool provides web-accessible biological annotations for gene expression datasets.

Related Experiment Videos

  • DRAGON View offers specialized tools for analyzing and visualizing expression patterns relative to annotated gene information.
  • Main Results:

    • DRAGON system successfully integrates diverse biological databases.
    • DRAGON Annotate tool efficiently supplies biological characteristics for genes in large datasets.
    • DRAGON View enables novel analysis of expression data linked to gene functions and pathways.

    Conclusions:

    • The DRAGON database system enhances the interpretation of large-scale gene expression data.
    • Integrating biological annotations with expression analysis provides deeper biological insights.
    • DRAGON offers a valuable resource for researchers in genomics and bioinformatics.