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

DSEARCH: sensitive database searching using distributed computing.

T M Keane1, T J Naughton

  • 1Department of Computer Science, National University of Ireland, Maynooth, Ireland.

Bioinformatics (Oxford, England)
|November 27, 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

Mental health disorder symptom changes among public safety personnel after emotional resilience skills training.

Comprehensive psychiatry·2025
Same author

Alcohol use and mental health symptoms in female firefighter recruits.

Occupational medicine (Oxford, England)·2020
Same author

Longitudinal associations between post-traumatic stress disorder and metabolic syndrome severity.

Psychological medicine·2016
Same author

Jdp2 downregulates Trp53 transcription to promote leukaemogenesis in the context of Trp53 heterozygosity.

Oncogene·2012
Same author

Spread-space spread-spectrum technique for secure multiplexing.

Optics letters·2007
Same author

Utility of the HIV dementia scale in assessing risk for significant HIV-related cognitive-motor deficits in a high-risk urban adult sample.

AIDS care·2005
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026
Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026
Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026
Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
See all related articles

This study introduces DSEARCH, a distributed database search program. It leverages idle computer resources to create a powerful, cost-free supercomputing solution for large-scale data analysis.

Area of Science:

  • Computer Science
  • Bioinformatics
  • Computational Biology

Background:

  • Large-scale database searches are computationally intensive.
  • Academic and corporate environments often have underutilized computing resources.
  • Existing search methods can be resource-prohibitive.

Purpose of the Study:

  • To present a novel distributed database search program called DSEARCH.
  • To enable efficient large-scale database searches by utilizing idle computing resources.
  • To provide a cost-effective supercomputing solution for academic and corporate users.

Main Methods:

  • Developed a distributed and fully cross-platform database search program.
  • Designed the program to utilize idle clock cycles of networked machines.

Related Experiment Videos

  • Implemented sensitive algorithms for comprehensive database searching.
  • Main Results:

    • DSEARCH effectively harnesses idle computational power for database searches.
    • The program offers a scalable solution for handling large datasets.
    • Demonstrates the feasibility of creating a 'free' database search supercomputer.

    Conclusions:

    • DSEARCH provides a practical and economical approach to large-scale database searching.
    • The software empowers organizations to maximize their existing computational infrastructure.
    • Facilitates advanced data analysis without requiring dedicated supercomputing hardware.