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

AltAVisT: comparing alternative multiple sequence alignments.

Burkhard Morgenstern1, Sachin Goel, Alexander Sczyrba

  • 1International Graduate School in Bioinformatics and Genome Research, University of Bielefeld, Postfach 10 01 31, 33501 Bielefeld, Germany. burkhard@TechFak.Uni-Bielefeld.DE

Bioinformatics (Oxford, England)
|February 14, 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

Balloon-Assisted Leaflet Laceration Using Modified UNICORN Technique in Native Valve TAVR.

JACC. Case reports·2026
Same author

30-Day Outcomes of a Single-Stage Transfemoral Mitral Valve Replacement System in Severe Mitral Valve Disease.

JACC. Cardiovascular interventions·2026
Same author

Unsupervised Agglomerative Cluster Phenotyping of Young Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions·2026
Same author

Impact of microbial consortia and fertilization regimes on the soil microbiome in maize field trials.

Scientific reports·2026
Same author

Conservative Management Versus Arthroscopic Repair for Symptomatic Partial-Thickness Supraspinatus Tears: A Prospective Comparative Analytical Study.

Cureus·2026
Same author

A Rare Case of Acute Idiopathic Gastric Necrosis.

Cureus·2025
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
Same journal

SpaMFG: a Spatial Multi-omics Integration Method based on Feature Grouping.

Bioinformatics (Oxford, England)·2026
Same journal

CSCN: Inference of Cell-Specific Causal Networks Using Single-Cell RNA-Seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

Sparse CCA-Based Mediation Analysis with High-Dimensional Exposures and Mediators.

Bioinformatics (Oxford, England)·2026
Same journal

Enhancing Cross-Context Generalization in Drug Perturbation Prediction with a Multimodal Conditional Diffusion Framework.

Bioinformatics (Oxford, England)·2026
Same journal

Primer Design through Submodular Function Estimation.

Bioinformatics (Oxford, England)·2026
See all related articles

This study presents a web-based tool for comparing multiple sequence alignments. It highlights reliable alignment regions by visualizing agreement between different alignment methods.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Multiple sequence alignment is crucial for understanding protein and nucleic acid function.
  • Assessing the reliability of alignment regions is essential for downstream analyses.
  • Existing tools may not adequately compare alternative alignment strategies.

Purpose of the Study:

  • To introduce a novel World Wide Web (WWW)-based tool for comparing two alternative multiple sequence alignments.
  • To provide a visual method for assessing the agreement between different alignment outcomes.
  • To identify reliably aligned regions within a given sequence set.

Main Methods:

  • Development of a WWW-based application for alignment comparison.
  • Implementation of color-coding to visualize regions of local agreement.

Related Experiment Videos

  • Utilizing sequence alignment data as input.

    • Main Results:

    • The tool effectively compares two alternative multiple sequence alignments.
    • Color-coding highlights regions where alignments consistently agree.
    • Identification of reliably aligned segments is facilitated.

    Conclusions:

    • The developed tool aids researchers in evaluating and selecting the most reliable multiple sequence alignments.
    • Visualizing alignment agreement enhances the interpretation of sequence homology.
    • This approach supports more robust downstream biological analyses.