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

Applying database technology to clinical and basic research bioinformatics projects.

Thomas P Nadeau1, Kelli A Sullivan, Toby J Teorey

  • 1Department of Computer Science and Engineering, University of Michigan, Ann Arbor, MI 48109-0580, USA.

Journal of Integrative Neuroscience
|March 11, 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

Voluntary wheel running decreases intraepidermal nerve fibers in healthy mice.

Pain reports·2026
Same author

Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis.

Annals of clinical and translational neurology·2026
Same author

Metabolic and Microvascular Risk Factors Associated With Brain Health in Type 1 Diabetes.

Annals of clinical and translational neurology·2026
Same author

Diabetic Peripheral Neuropathy May Be an Independent Risk Marker for Dementia and Cerebrovascular Disease.

Diabetes, obesity & metabolism·2026
Same author

Air pollution and mortality in a University of Michigan amyotrophic lateral sclerosis cohort: a survival analysis.

Environmental health : a global access science source·2026
Same author

Ketogenic Diet and Exercise Improve Peripheral Neuropathy in a Mouse Model of Metabolic Syndrome.

Diabetes·2026
Same journal

Metabolic Brain Network Reorganization in Temporal Lobe Epilepsy With Aware or Impaired Awareness Seizures.

Journal of integrative neuroscience·2026
Same journal

Longitudinal Reorganization of Local Brain Activity Following Acute Basal Ganglia Infarction: Combined Metrics of Amplitude and Dynamics Reveal Neural Substrates Underlying Motor Recovery.

Journal of integrative neuroscience·2026
Same journal

The Neuroprotective Role of a Caspase-1 Inhibitor Against Apoptosis via Inhibition of Glial Hyperactivation in a Mouse Model of Epilepsy.

Journal of integrative neuroscience·2026
Same journal

Understanding Sleep and Memory in the Avian Brain.

Journal of integrative neuroscience·2026
Same journal

Tea Polyphenols Protect the Blood-Brain Barrier Structure in the Hippocampus of Early Diabetic Mice by Inhibiting the AGEs-RAGE Pathway.

Journal of integrative neuroscience·2026
Same journal

Single-Cell and Integrative Analyses Uncover Therapeutic Potential of RFX1-Mediated Cuproptosis in PitNETs.

Journal of integrative neuroscience·2026
See all related articles

This study applies database technology to medical information, creating tools for researchers to manage bioinformatics projects. It highlights the benefits of relational databases for both basic and clinical research applications.

Area of Science:

  • Bioinformatics
  • Medical Informatics
  • Database Technology

Background:

  • Medical research generates vast amounts of data requiring efficient management.
  • Bioinformatics is crucial for analyzing complex biological and clinical datasets.
  • Existing tools may not adequately support the planning and execution of bioinformatics projects.

Purpose of the Study:

  • To describe the application of database technology for medical information management.
  • To provide researchers with tools for planning bioinformatics projects.
  • To discuss the advantages of relational databases in bioinformatics.

Main Methods:

  • Utilized commercial database management systems.
  • Applied standard database design practices.

Related Experiment Videos

  • Developed a user interface and entered data from animal, cell culture, and clinical models of diabetes.
  • Initiated development of data mining and analysis tools.

    • Main Results:

    • Constructed databases incorporating diverse data types (animal models, cell cultures, clinical data).
    • Established a foundation for advanced data analysis and bioinformatics project management.
    • Demonstrated the feasibility of using relational databases for medical information.

    Conclusions:

    • Database technology is a valuable asset for medical and clinical research.
    • Relational databases offer significant advantages for managing bioinformatics projects.
    • The developed approach facilitates efficient data handling and analysis in bioinformatics.