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

Ridom TraceEdit: a DNA trace editor and viewer.

Jörg Rothgänger1, Markus Weniger, Thomas Weniger

  • 1Ridom GmbH, 97082 Würzburg, Germany.

Bioinformatics (Oxford, England)
|December 17, 2005
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

stackPredAMR-a stacked random forest approach improves AMR phenotype prediction for multiple species and antimicrobial agents.

Bioinformatics advances·2026
Same author

Factors Governing the Cross-Species Virulence of Shiga Toxin-Producing <i>Escherichia coli</i>.

Pathogens (Basel, Switzerland)·2026
Same author

A Comparison of Endodontic Microbiomes Associated With Symptomatic and Asymptomatic Apical Periodontitis by Next-Generation Sequencing.

International endodontic journal·2026
Same author

Chlorine dioxide flushing protocols for microbial reduction in dental chair units.

PloS one·2026
Same author

RpoS impacts global gene expression and carbon source utilization in <i>Escherichia coli</i> O104:H4.

Frontiers in microbiology·2026
Same author

Inhibitors of cellular RSK isoforms exhibit anti-SARS-CoV-2 activity, enhance efficacy of direct-acting antivirals, and suppress emergence of resistance.

Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy·2026

Ridom TraceEdit is a graphical DNA trace viewer and editor. It allows users to view and edit chromatogram files from automated sequencers, correcting base call errors.

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Genomics

Background:

  • Automated DNA sequencing generates chromatogram data.
  • Accurate base calling from chromatograms is crucial for downstream analysis.
  • Existing tools may have limitations in viewing and editing capabilities.

Purpose of the Study:

  • To introduce Ridom TraceEdit, a novel software tool.
  • To provide a user-friendly interface for DNA trace visualization and editing.
  • To facilitate the correction of base call errors in sequencing data.

Main Methods:

  • Developed as a cross-platform graphical application.
  • Supports visualization of chromatogram files from Applied Biosystems sequencers.
  • Handles files in the Staden Sequence Chromatogram File (SCF) format.

Related Experiment Videos

  • Enables direct editing of base calls within the chromatogram view.

    • Main Results:

    • Ridom TraceEdit successfully displays DNA chromatograms.
    • Users can identify and rectify incorrect base calls.
    • Edited chromatogram files can be saved for further use.

    Conclusions:

    • Ridom TraceEdit is an effective tool for DNA trace viewing and editing.
    • It simplifies the process of correcting sequencing data errors.
    • The software enhances the reliability of genetic sequence analysis.