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

GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data.

Andrey Rzhetsky1, Ivan Iossifov, Tomohiro Koike

  • 1Columbia Genome Center, Columbia University, New York, NY 10032, USA. ar345@columbia.edu

Journal of Biomedical Informatics
|March 16, 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

An effective encoding of human medical conditions in disease space provides a versatile framework for deciphering disease associations.

Quantitative biology (Beijing, China)·2026
Same author

Longitudinal analysis of electronic health records reveals medical conditions associated with subsequent Alzheimer's disease development.

Alzheimer's research & therapy·2025
Same author

Public Health.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Longitudinal Analysis of Electronic Health Records Reveals Medical Conditions Associated with Subsequent Alzheimer's Disease Development.

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

Digital twins as global learning health and disease models for preventive and personalized medicine.

Genome medicine·2025
Same author

Prevalence and incidence measures for schizophrenia among commercial health insurance and medicaid enrollees.

Schizophrenia (Heidelberg, Germany)·2024

GeneWays is an integrated system for molecular biology research, automating information capture and analysis of molecular interactions. It provides an open platform for researchers to access and review curated molecular network data.

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Computational Biology

Background:

  • The rapid expansion of molecular biology research necessitates automated methods for managing vast amounts of literature and experimental data.
  • Existing approaches address specific challenges like article selection and information extraction but lack integration.

Purpose of the Study:

  • To develop an integrated system, GeneWays, for efficient capture, storage, and analysis of molecular biology information.
  • To infer a consensus view of molecular networks by analyzing interactions between molecular substances from diverse sources.

Main Methods:

  • Utilizing natural-language processing and information visualization techniques.
  • Developing automated methods for selecting relevant molecular biology articles.

Related Experiment Videos

  • Integrating multiple information sources to build specialized knowledge bases.
  • Analyzing molecular substance interactions to infer network consensus.

    • Main Results:

    • GeneWays integrates various subtasks for automated information management in molecular biology.
    • The system infers consensus molecular networks by analyzing interactions from multiple data sources.
    • It functions as an open platform for researchers to query and review stored information.

    Conclusions:

    • GeneWays offers an efficient, integrated solution for managing the growing volume of molecular biology data.
    • The system facilitates the understanding of molecular interactions and network structures.
    • Its open platform design encourages collaborative review and refinement of biological knowledge.