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

Automatic extraction of reliable regions from multiple sequence alignments.

Timo Lassmann1, Erik Ll Sonnhammer

  • 1Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden. timolassmann@gmail.com

BMC Bioinformatics
|July 13, 2007
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

Mesothelioma location influences the tumour microenvironment and immune checkpoint therapy response in preclinical models.

Scientific reports·2026
Same author

AI succeeds in diagnosing rare diseases.

Nature·2026
Same author

A precision medicine approach to interpret a GATA4 genetic variant in a paediatric patient with congenital heart disease.

Human genomics·2026
Same author

The United Nations convention on rare diseases-A framework for research prioritization.

Frontiers in public health·2025
Same author

Functional characterization of the MED12 p.Arg1138Trp variant in females: implications for neural development and disease mechanism.

Molecular medicine (Cambridge, Mass.)·2025
Same author

Author Correction: An RNA-dependent RNA polymerase formed by TERT and the RMRP RNA.

Nature·2025
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
Same journal

SimMapNet: a Bayesian framework for gene regulatory network inference using gene ontology similarities as external hint.

BMC bioinformatics·2026
Same journal

Dual channel drug-drug interactions extraction based on cross attention.

BMC bioinformatics·2026
Same journal

FeSseqdb: a curated sequence-level database and interpretable machine learning framework for identifying iron-sulfur proteins.

BMC bioinformatics·2026
See all related articles

This study introduces a new method to improve multiple sequence alignment accuracy. By merging reliable regions, the new consensus alignment shows significantly higher accuracy for genomic annotation transfer.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • High-quality multiple sequence alignments are essential for accurate genome annotation transfer.
  • Current multiple alignment methods focus on average accuracy, often neglecting individual alignment quality.

Purpose of the Study:

  • To develop an algorithm for extracting and merging similarly aligned regions from multiple sequence alignments.
  • To create a consensus alignment that enhances the accuracy of individual alignments.

Main Methods:

  • Extension of a previously developed method for assessing multiple alignment accuracy.
  • Algorithm designed to identify and combine consistently aligned segments across different alignments.

Main Results:

Related Experiment Videos

  • The developed algorithm successfully extracts similarly aligned regions.
  • The resulting consensus alignments show a 25-100% increase in correctly aligned residues compared to input alignments.

Conclusions:

  • Focusing on reliably aligned regions significantly improves overall alignment accuracy.
  • This method offers a practical approach to enhance the reliability of multiple sequence alignments for downstream applications.