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

DNA Microarrays02:34

DNA Microarrays

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...

You might also read

Related Articles

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

Sort by
Same author

Upregulation of ATP-purinergic P2x2 receptors in the cochlea over-amplifies hearing sensitivity leading to hyperacusis and attenuation by antagonists.

bioRxiv : the preprint server for biology·2026
Same author

Epicardial muscle bundles in persistent atrial fibrillation: from overlooked bystanders to arrhythmogenic modulators.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing·2026
Same author

A Fully Potentiometric Electronic Tongue Enabling Comprehensive Physical and Chemical Sensations.

ACS applied materials & interfaces·2026
Same author

Associations between the C-reactive protein-triglyceride glucose index and the incidence and progression trajectory of cardiometabolic multimorbidity: a multi-state model study.

Cardiovascular diabetology·2026
Same author

Efficacy and safety of Shexiang Tongxin pill for coronary slow flow in angina patients.

NPJ cardiovascular health·2026
Same author

IRF7 orchestrates maladaptive smooth muscle cell phenotype switching in atherosclerosis.

Precision clinical medicine·2026
Same journal

Screen for Footprints of Selection during Domestication/Captive Breeding of Atlantic Salmon.

Comparative and functional genomics·2013
Same journal

Gemi: PCR primers prediction from multiple alignments.

Comparative and functional genomics·2013
Same journal

TnpPred: A Web Service for the Robust Prediction of Prokaryotic Transposases.

Comparative and functional genomics·2012
Same journal

The α(1)AT and TIMP-1 Gene Polymorphism in the Development of Asthma.

Comparative and functional genomics·2012
Same journal

Comparative Analysis of MicroRNAs between Sporophyte and Gametophyte of Porphyra yezoensis.

Comparative and functional genomics·2012
Same journal

Correlation of aquaporins and transmembrane solute transporters revealed by genome-wide analysis in developing maize leaf.

Comparative and functional genomics·2012
See all related articles

Related Experiment Video

Updated: Jul 3, 2026

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

MAGIC database and interfaces: an integrated package for gene discovery and expression.

Marie-Michèle Cordonnier-Pratt1, Chun Liang, Haiming Wang

  • 1Department of Plant Biology, University of Georgia, Athens, GA 30602, USA. mmpratt@uga.edu

Comparative and Functional Genomics
|July 17, 2008
PubMed
Summary
This summary is machine-generated.

We developed the MAGIC Database, a comprehensive genomic and gene expression data management system. This modular, web-based solution aids laboratories in handling increasing biological data volumes for gene discovery and analysis.

More Related Videos

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

Related Experiment Videos

Last Updated: Jul 3, 2026

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

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • The exponential growth of biological data necessitates advanced database solutions for effective laboratory management.
  • Existing tools often lack the integration required for comprehensive analysis of genomic and gene expression data.

Purpose of the Study:

  • To introduce the Modular Approach to a Genomic, Integrated and Comprehensive (MAGIC) Database.
  • To provide a scalable and accessible platform for managing diverse biological datasets, including expressed sequence tags (ESTs) and microarray data.

Main Methods:

  • Development of an Oracle 9i relational database with distinct subschemas for administration, sequence processing, EST clustering, polymorphism discovery, and annotation.
  • Implementation of a MIAME-compliant microarray data management system with remote data entry and analysis capabilities.
  • Web browser-based interface for universal accessibility and ease of use.

Main Results:

  • The MAGIC Database integrates gene discovery (DNA sequences, ESTs) and gene expression (microarrays) data.
  • Includes specialized modules for sequence attributes, clustering, polymorphism, annotation, and microarray analysis.
  • Web accessibility facilitates use in individual labs and remote core facilities.

Conclusions:

  • The MAGIC Database offers a robust, modular, and integrated solution for managing complex biological data.
  • Its web-based architecture enhances accessibility for research laboratories and core facilities.
  • Facilitates efficient gene discovery and expression analysis, addressing the challenges of big biological data.