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

Semantic Web Service provision: a realistic framework for Bioinformatics programmers.

Paul M K Gordon1, Quang Trinh, Christoph W Sensen

  • 1University of Calgary, Faculty of Medicine, Sun Center of Excellence for Visual Genomics, Calgary, AB, Canada. gordonp@ucalgary.ca

Bioinformatics (Oxford, England)
|March 27, 2007
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

GPNMB-directed CAR T cell therapy against MiT/TFE-family fusion-driven solid tumors.

Nature cancer·2026
Same author

VIRUS-MVP: a framework for comprehensive surveillance of viral mutations and their functional impacts.

NAR genomics and bioinformatics·2025
Same author

Using MUC2 mucin producing tumorigenic human goblet-like cells to uncover functional properties of the mucus barrier.

Gut microbes·2025
Same author

hTERT Increases TRF2 to Induce Telomere Compaction and Extend Cell Replicative Lifespan.

Aging cell·2025
Same author

Synergistic RAS-MAPK and AKT Activation in MYC-Driven Tumors via Adjacent PVT1 Rearrangements.

bioRxiv : the preprint server for biology·2025
Same author

Pericardial Fluid of Patients With Coronary Artery Disease Can Drive Fibrosis Via TGF-Beta Pathway.

JACC. Basic to translational science·2024
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 MobyServlet, a framework enabling Java applications to integrate with the MOBY-S semantic Web Services protocol. This enhances bioinformatics tool accessibility and interoperability for researchers.

Area of Science:

  • Bioinformatics
  • Semantic Web Services
  • Computational Biology

Background:

  • Existing semantic Web Services clients for Bioinformatics lack support systems for service providers.
  • The MOBY-S protocol facilitates interoperability among bioinformatics services.

Purpose of the Study:

  • To present MobyServlet, a framework simplifying the integration of existing Java applications into the MOBY-S protocol.
  • To demonstrate the advantages of MOBY-S compliance for bioinformatics service providers.

Main Methods:

  • Developed the MobyServlet framework for Java applications.
  • Adapted an existing Java program for codon-pair bias determination to comply with MOBY-S.
  • Enumerated the steps required for MOBY-S compliance.

Related Experiment Videos

Main Results:

  • MobyServlet allows existing Java programs to conform to MOBY-S with minimal programming effort.
  • MOBY-S compliant services gain wider user exposure through automatic inclusion in MOBY-S client programs.
  • Achieved automatic interoperability for input and output with other MOBY-S services.

Conclusions:

  • MobyServlet simplifies the deployment of bioinformatics services within the semantic Web.
  • Increased adoption of MOBY-S by developers will facilitate complex on-line analyses for biologists.
  • The framework and documentation are freely available, encouraging wider adoption.