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

An editing environment for DNA sequence analysis and annotation (extended abstract)

E C Uberbacher1, Y Xu, M B Shah

  • 1Computer Science and Mathematics Division, Oak Ridge National Laboratory TN 37831-6364, USA.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|August 11, 1998
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

Leucas aspera: A review.

Pharmacognosy reviews·2012
Same author

Endoscopic retrieval of a migrated esophageal stent in the cecum.

Endoscopy·2010
Same author

Contraception and sexuality.

Minerva ginecologica·2010
Same author

Novel use of cryotherapy to control bleeding in advanced esophageal cancer.

Endoscopy·2010
Same author

R-curve behavior and micromechanisms of fracture in resin based dental restorative composites.

Journal of the mechanical behavior of biomedical materials·2009
Same author

Fragmentation and plasmid strand breaks in pure and gold-doped DNA irradiated by beams of fast hydrogen atoms.

Physics in medicine and biology·2009
Same journal

Trust, Reproducibility, and Progress: The Roles of Independent Blind Prediction and Assessment and Benchmarking in Computational Biology.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

The Evolving Cyberinfrastructure at the National Institutes of Health to Support Data and AI in Biomedical Research.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

Applications of AI & ML in Biomanufacturing of Cell and Gene Therapies.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

AI for Health: Leveraging Artificial Intelligence to Revolutionize Healthcare.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

Workshop Introduction: Advances of AI Methods in Single Cell Spatial Omics.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same journal

DRIVE-KG: Enhancing variant-phenotype association discovery in understudied complex diseases using heterogeneous knowledge graphs.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
See all related articles

This study introduces a novel computer system for genomic sequence analysis, significantly speeding up gene identification. It efficiently searches large genomic databases, reducing search time by optimizing sequence comparisons.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Analyzing large-scale genomic sequences is computationally intensive.
  • Identifying gene structures requires processing vast amounts of data, including pattern recognition and homology information.
  • Database similarity searches present a significant computational bottleneck in genomic analysis.

Purpose of the Study:

  • To present a novel computer system for analyzing and annotating large-scale genomic sequences.
  • To improve the efficiency of gene structure identification and database searching.
  • To provide an interactive environment for users to control the gene identification process.

Main Methods:

  • Development of a multiple-gene structure identification program utilizing pattern recognition and homology data.

Related Experiment Videos

  • Implementation of a graphics-based user interface for interactive control of evidence used in gene identification.
  • A novel database partitioning strategy to reduce search space from N to O(sqrt(N)) sequences, significantly decreasing search time.

    • Main Results:

    • The system effectively analyzes and annotates large genomic sequences.
    • The developed database partitioning method substantially reduces computational time for similarity searches.
    • Interactive user control over the gene identification process is facilitated.

    Conclusions:

    • The presented computer system offers an efficient solution for large-scale genomic sequence analysis.
    • The optimized database search strategy significantly overcomes computational bottlenecks in gene identification.
    • The system empowers researchers with real-time modification capabilities for genomic analysis and modeling.