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

DIALIGN: finding local similarities by multiple sequence alignment

B Morgenstern1, K Frech, A Dress

  • 1GSF-National Research Center for Environment and Health, Institute of Biomathematics and Biometry, Institute of Mammalian Genetics, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany.

Bioinformatics (Oxford, England)
|June 6, 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

Comparative assessment of radiation therapy-induced vasculitis using [<sup>18</sup>F]FDG-PET/CT in patients with non-small cell lung cancer treated with proton versus photon radiotherapy.

European journal of nuclear medicine and molecular imaging·2023
Same author

Discrepancies between tumor genomic profiling and germline genetic testing.

ESMO open·2022
Same author

Increased serum vitamin D concentration under oral magnesium therapy in elderly hypertensives.

Magnesium research·2021
Same author

Gas-loading furnace for deuterium-charged alloy-casting.

The Review of scientific instruments·2020
Same author

[Use of near-infrared spectroscopy for control of limb perfusion during venoarterial ECMO treatment : Application and limitations].

Der Anaesthesist·2017
Same author

[Teleteaching in Otorhinolaryngology (part 1).Real-time transmission of a congress in picture and tone into the Internet].

HNO·2017
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026
Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026
Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026
Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026
Same journal

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

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

DIALIGN is a novel sequence alignment method that compares sequence segments instead of single residues, improving motif detection in genomic and protein data. This approach is particularly useful for identifying local similarities in non-globally related sequences.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Standard sequence alignment methods rely on residue-by-residue comparison and gap penalties.
  • DIALIGN offers an alternative approach for sequence alignment.
  • This method is suitable for sequences with local similarities, such as genomic DNA and protein families.

Purpose of the Study:

  • To introduce DIALIGN, a new method for pairwise and multiple sequence alignment.
  • To evaluate DIALIGN's performance in aligning conserved motifs in protein sequences.

Main Methods:

  • DIALIGN constructs alignments by comparing whole segments of sequences.
  • The method does not employ gap penalties.
  • Alignments are generated for both nucleic acid and protein sequences.

Related Experiment Videos

Main Results:

  • DIALIGN correctly aligns conserved motifs in protein sequences across four diverse datasets.
  • Performance was systematically compared against five other alignment programs.

Conclusions:

  • DIALIGN is an effective tool for sequence alignment, especially for identifying local similarities.
  • The method demonstrates proficiency in aligning conserved motifs in protein sequences.