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

Genotator: a workbench for sequence annotation

N L Harris1

  • 1Lawrence Berkeley National Laboratory (LBNL), Human Genome Informatics Group, Berkeley, California 94720, USA. nlharris@lbl.gov

Genome Research
|July 1, 1997
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

Intestinal eosinophils: multifaceted roles in tissue homeostasis and disease.

Seminars in immunopathology·2021
Same author

Attribution of net carbon change by disturbance type across forest lands of the conterminous United States.

Carbon balance and management·2016
Same author

Interactions between the intestinal microbiome and helminth parasites.

Parasite immunology·2015
Same author

Mucosal immune responses following intestinal nematode infection.

Parasite immunology·2014
Same author

Thymic stromal lymphopoietin plays divergent roles in murine models of atopic and nonatopic airway inflammation.

Allergy·2014
Same author

Understanding the role of antibodies in murine infections with Heligmosomoides (polygyrus) bakeri: 35 years ago, now and 35 years ahead.

Parasite immunology·2013
Same journal

Complete sequencing of medaka genomes reveals the architecture of centromeric satellites, giant mobile elements, and sex chromosomes.

Genome research·2026
Same journal

Convergence and conflict among telomere specialized transposons across 60 million years of Drosophilid evolution.

Genome research·2026
Same journal

A unified analysis of cell type- and trajectory-associated pathways in single-cell data using Phoenix.

Genome research·2026
Same journal

Resf1 is required for proper placental development and configuration of trophoblast cell-specific heterochromatin.

Genome research·2026
Same journal

Telomere-driven replicative crisis is driven by large-scale changes in genomic architecture.

Genome research·2026
Same journal

Spatially informed reference-free cell-type deconvolution for spatial transcriptomics with SpatialCD.

Genome research·2026
See all related articles

Genotator is a software workbench that automates DNA sequence annotation and browsing. It integrates multiple analysis tools and provides an interactive graphical browser for exploring genetic data.

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • The rapid increase in genetic data from sequencing centers necessitates advanced tools for biological interpretation.
  • Automated annotation of DNA sequences is crucial for enhancing their biological value, identifying gene locations, homologies, and regulatory signals.

Purpose of the Study:

  • To introduce Genotator, a comprehensive workbench for automated sequence annotation and interactive browsing.
  • To provide researchers with an efficient tool for analyzing and interpreting large volumes of genetic data.

Main Methods:

  • Genotator employs a backend system that runs various sequence analysis tools, including gene-finding programs, homology searches, and searches for promoters, splice sites, and open reading frames (ORFs).
  • It features an interactive graphical browser that displays color-coded annotations, allowing users to zoom, scroll, and explore sequences at multiple levels of detail.

Related Experiment Videos

  • Users can view DNA sequences alongside annotations, with linked highlighting between the sequence and annotation displays. Personal annotations can also be added.

    • Main Results:

    • Genotator successfully integrates multiple sequence analysis tools to automate the annotation process.
    • The interactive graphical browser enables intuitive exploration and identification of significant sequence regions, such as probable exons.
    • The software facilitates the interpretation of complex genetic data by presenting diverse annotations in a unified view.

    Conclusions:

    • Genotator offers a powerful and intuitive platform for automated DNA sequence annotation and analysis.
    • Its integrated approach and interactive visualization capabilities significantly aid researchers in understanding genetic information.
    • The tool supports further research through features like primer design and pattern searching.