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

Challenges in data management for functional genomics.

Michael Gribskov1

  • 1Department of Biology, University of California, San Diego, La Jolla, California 92093-0537, USA. gribskov@sdsc.edu

Omics : a Journal of Integrative Biology
|July 2, 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

Comparative Transcriptomic Analysis of <i>Zymoseptoria tritici</i> Reveals Interaction-Specific Gene Expression Patterns During Susceptible, Resistant, and Nonhost Interactions.

Molecular plant-microbe interactions : MPMI·2025
Same author

Comparative genomics of the extremophile <i>Cryomyces antarcticus</i> and other psychrophilic Dothideomycetes.

Frontiers in fungal biology·2024
Same author

MicroRNAs implicated in canine diffuse large B-cell lymphoma prognosis.

FEBS open bio·2024
Same author

miRNome expression analysis in canine diffuse large B-cell lymphoma.

Frontiers in oncology·2023
Same author

Bibliometric review of ATAC-Seq and its application in gene expression.

Briefings in bioinformatics·2022
Same author

The CDPK superfamily of protein kinases.

The New phytologist·2021
Same journal

Synergistic Geroprotectors Mapping through Systems Machine Learning and Graph Neural Networks.

Omics : a journal of integrative biology·2026
Same journal

<i>ENTPD2</i> Transcript-Protein Divergence in Colorectal Cancer and Its Association with miR-708-5p: An Integrative Analysis.

Omics : a journal of integrative biology·2026
Same journal

Integrated Bioinformatics and Molecular Docking Analysis Reveals Potential Mechanisms of Coptidis Rhizoma in Intervertebral Disc Degeneration.

Omics : a journal of integrative biology·2026
Same journal

Site-Specific Phosphoproteomics Uncovers Potential Regulatory Networks of NEK4 in DNA Damage Response and Cancer Progression.

Omics : a journal of integrative biology·2026
Same journal

Network-Based Multiomics Integration Reveals Immunometabolic Convergence Between COVID-19 and Pulmonary Arterial Hypertension.

Omics : a journal of integrative biology·2026
Same journal

Procaterol Enhances Cisplatin-Induced Cytotoxicity via Apoptosis, Oxidative Stress, and Cell Cycle Arrest in Breast and Cervical Cancer Cells.

Omics : a journal of integrative biology·2026
See all related articles

Biological databases present integration, semantic, annotation, and data analysis challenges. Addressing these key research areas is crucial for advancing biological data management and utilization.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • Biological databases are essential resources for life science research.
  • Current biological databases face significant hurdles in data management and accessibility.
  • These challenges impede efficient data retrieval and analysis.

Purpose of the Study:

  • To identify and elaborate on the primary challenges in biological database development and maintenance.
  • To highlight key areas for future research and technological advancement in the field.

Main Methods:

  • Review and synthesis of existing literature on biological database challenges.
  • Categorization of identified challenges into distinct thematic areas.
  • Analysis of the implications of each challenge for the broader scientific community.

Related Experiment Videos

Main Results:

  • Identified four critical challenge areas: integration/interoperation/federation, semantic definition/ontologies, community annotation, and data analysis tool integration.
  • Each area presents unique obstacles requiring innovative solutions.
  • These challenges impact data consistency, usability, and the pace of scientific discovery.

Conclusions:

  • The identified challenges represent significant opportunities for research and development in bioinformatics and data management.
  • Addressing these issues will enhance the utility and impact of biological databases.
  • Future efforts should focus on developing robust solutions for data integration, semantic standardization, collaborative annotation, and seamless tool integration.