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

Differences between pair-wise and multi-sequence alignment methods affect vertebrate genome comparisons.

Elliott H Margulies1, Christina W Chen, Eric D Green

  • 1Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA. elliott@nhgri.nih.gov

Trends in Genetics : TIG
|February 28, 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

2025 ASHG Leadership Award.

American journal of human genetics·2026
Same author

Advancing the science of genomic learning healthcare systems.

Learning health systems·2025
Same author

Human-specific gene expansions contribute to brain evolution.

Cell·2025
Same author

Large open access database of echocardiogram reports in intensive care unit patients.

Scientific data·2025
Same author

The expanding global genomics landscape: Converging priorities from national genomics programs.

American journal of human genetics·2025
Same author

Genomic medicine year in review: 2024.

American journal of human genetics·2024
Same journal

Genetic suppressors as new therapeutic targets for Mendelian diseases.

Trends in genetics : TIG·2026
Same journal

Beyond housekeeping: snRNA diversity, regulation, and human disease.

Trends in genetics : TIG·2026
Same journal

Rethinking mitochondrial metabolism: Intraindividual variability meets population constraints.

Trends in genetics : TIG·2026
Same journal

A role for epigenetics in rapid adaptation.

Trends in genetics : TIG·2026
Same journal

The myth of asexual fungi.

Trends in genetics : TIG·2026
Same journal

Rethinking molecular evolution through protein language model embeddings.

Trends in genetics : TIG·2026
See all related articles

Multi-sequence alignment methods significantly improve the accuracy of genomic sequence alignment, especially for diverse species. This approach captures more orthologous sequence data than pair-wise methods, enhancing comparative genomics research.

Area of Science:

  • Genomics
  • Bioinformatics
  • Comparative genomics

Background:

  • Accurate multiple genomic sequence alignment is challenging, particularly for highly diverged species.
  • Pair-wise alignment methods often fail to capture all orthologous sequences in phylogenetically diverse datasets.

Purpose of the Study:

  • To evaluate the effectiveness of multi-sequence alignment versus pair-wise alignment for capturing orthologous sequences.
  • To demonstrate the advantages of multi-sequence alignment for comparative genome analyses.

Main Methods:

  • Comparative analysis of multi-sequence alignment and pair-wise alignment methods.
  • Assessment of orthologous sequence capture across phylogenetically diverse vertebrate species.

Main Results:

Related Experiment Videos

  • Multi-sequence alignment methods are substantially superior to pair-wise methods for aligning sequences from highly diverged species.
  • Aligning sequences from numerous species maximizes the gains in orthologous sequence capture.
  • Multi-sequence alignments identify significant amounts of exonic and conserved non-exonic sequences missed by pair-wise methods.

Conclusions:

  • The choice of alignment method is critical for accurate comparative genome analyses.
  • Multi-sequence alignment is essential for comprehensive analysis of genomic data from diverse species.
  • This study highlights the importance of advanced alignment strategies for maximizing genomic data utility.