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

Improving literature based discovery support by genetic knowledge integration.

Dimitar Hristovski1, Borut Peterlin, Joyce A Mitchell

  • 1Institute of Biomedical Informatics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia. Dimitar.Hristovski@mf.uni-lj.si

Studies in Health Technology and Informatics
|December 11, 2003
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

Insight into Haploinsufficiency of the ERBB4 Gene: Expanding the Spectrum of Associated Phenotypes.

Journal of autism and developmental disorders·2026
Same author

Enrichment of Rare Variants in Nuclear-Encoded Mitochondrial Metabolism Genes in Patients with Early-Onset or Familial Parkinson's Disease.

Genes·2026
Same author

Discovery of PHB1 as a Novel Candidate Gene in Dominant Optic Atrophy.

Clinical genetics·2026
Same author

Clinical, <i>in vitro</i>, and <i>in vivo</i> evidence of <i>WAPL</i> as a novel cohesinopathy gene and phenotypic driver of 10q22.3q23.2 genomic disorder.

medRxiv : the preprint server for health sciences·2026
Same author

Two Cases of SPEN Haploinsufficiency Presenting with Dystonia: Expanding the Genotype and Phenotype.

Movement disorders clinical practice·2026
Same author

DE NOVO VARIANTS IN THE POLY(RC)-BINDING PROTEIN GENE <i>PCBP1</i> CAUSE A NEURODEVELOPMENTAL DISORDER.

medRxiv : the preprint server for health sciences·2025
Same journal

The Essential Components and Critical Conditions for Success in a Learning Health System in Oncology.

Studies in health technology and informatics·2026
Same journal

Use of Artificial Intelligence in Screening for Adolescent Idiopathic Scoliosis: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Movement Related Biomechanics in Adolescent Idiopathic Scoliosis: A Review of Reviews.

Studies in health technology and informatics·2026
Same journal

The Impact of Surgical Correction of Adolescent Idiopathic Scoliosis Using Posterior Spinal Fusion on Selected Radiological Parameters and Respiratory Function.

Studies in health technology and informatics·2026
Same journal

Acute Effect of Physio-logic® Exercises on Muscle Tone and Stiffness in Adolescent Idiopathic Scoliosis Patients: A Preliminary Study.

Studies in health technology and informatics·2026
Same journal

Effects of Integrated Music and Occupational Therapy on Motor and Autonomic Function in Children with Neurogenic Scoliosis.

Studies in health technology and informatics·2026
See all related articles

We developed BITOLA, a system that mines Medline to find new biomedical relations, aiding disease gene discovery. It integrates chromosomal location data to refine search results and support scientific research.

Area of Science:

  • Biomedical informatics
  • Bioinformatics
  • Medical literature analysis

Background:

  • Biomedical research requires efficient methods for discovering novel relationships between biological concepts.
  • Existing literature mining tools may not sufficiently support specific applications like disease candidate gene discovery.
  • Integrating diverse biological knowledge sources can enhance the precision of information retrieval.

Purpose of the Study:

  • To introduce the Biomedical Interactive Literature-based Discovery Aid (BITOLA) system.
  • To enable the discovery of new, potentially meaningful relations between biomedical concepts by mining the Medline database.
  • To improve disease candidate gene discovery by integrating background knowledge on chromosomal locations.

Main Methods:

Related Experiment Videos

  • Utilizing an interactive, literature-based approach to support biomedical discovery.
  • Mining the Medline bibliographic database to identify concept relationships.
  • Integrating background knowledge from resources like LocusLink, HUGO, and OMIM, focusing on chromosomal locations of diseases and genes.

    • Main Results:

    • The BITOLA system facilitates the identification of novel biomedical relationships.
    • The integration of chromosomal location data effectively decreases the number of candidate relations, enhancing focus.
    • BITOLA offers an alternative and potentially more effective method for searching Medline.

    Conclusions:

    • BITOLA serves as a valuable tool for biomedical discovery and hypothesis generation.
    • The system's ability to integrate diverse data sources enhances its utility for specific research areas like gene discovery.
    • BITOLA provides an innovative approach to navigating and extracting knowledge from biomedical literature.