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

Bioinformatic insights from metagenomics through visualization.

Susan L Havre1, Bobbie-Jo Webb-Robertson, Anuj Shah

  • 1Pacific Northwest National Laboratory. susan.havre@pnl.gov

Proceedings. IEEE Computational Systems Bioinformatics Conference
|February 2, 2006
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

Best practices for the LinQ sacroiliac joint stabilization procedure for the treatment of sacroiliac joint disorders.

Pain management·2026
Same author

Developments in dorsal root ganglion stimulation to treat pain of neuropathic origin.

Expert review of neurotherapeutics·2026
Same author

Histotripsy Compared With Microwave Ablation, Radiofrequency Ablation, and Stereotactic Body Radiotherapy for the Treatment of Liver Tumors.

Cureus·2025
Same author

Factors in Surgical Placement and System Design to Reduce Pocket Awareness and Optimize the User Experience of Spinal Cord Stimulators - A Comprehensive Review.

Journal of pain research·2025
Same author

Factors Associated With Next-Day Discharge After Pulmonary Lobectomy.

Annals of thoracic surgery short reports·2025
Same author

Radiomics in Soft Tissue Sarcoma: Toward Precision Imaging in Oncology.

Cancers·2025

Juxter is a bioinformatics visualization tool that helps researchers compare complex data patterns. This systems-level analysis aids in discovering insights not found by algorithms, particularly in metagenomics.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Modern biological research integrates diverse high-throughput data for a systems-level perspective.
  • Data integration and fusion often rely on advanced statistical and mathematical methods.
  • Computational visualization complements analysis by aiding in the interpretation of complex datasets.

Purpose of the Study:

  • To present Juxter, a bioinformatics visualization prototype.
  • To enable comparison of patterns across categorizations derived from diverse data.
  • To facilitate the discernment of correlated and anomalous patterns in biological data.

Main Methods:

  • Development of a bioinformatics visualization prototype named Juxter.
  • Depiction of categorical information from diverse experimental data.

Related Experiment Videos

  • Interactive exploration of data patterns for biological insight.

    • Main Results:

    • Juxter allows users to easily identify correlated and anomalous patterns within complex datasets.
    • The visualization can reveal insights that may be missed by automated algorithms.
    • Demonstrated utility in the field of metagenomics for analyzing microbial genetic material.

    Conclusions:

    • Juxter provides a valuable tool for systems-level data analysis in biology.
    • The visualization aids in generating novel hypotheses and discoveries.
    • This approach is particularly useful for emerging fields like metagenomics.