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

MULTICOMP: a program package for multiple sequence comparison.

M Vihinen1, A Euranto, P Luostarinen

  • 1Department of Biochemistry, University of Turku, Finland.

Computer Applications in the Biosciences : CABIOS
|February 1, 1992
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

Substitution scanning identifies a novel, catalytically active ibrutinib-resistant BTK cysteine 481 to threonine (C481T) variant.

Leukemia·2016
Same author

Somatic mutation databases as tools for molecular epidemiology and molecular pathology of cancer: proposed guidelines for improving data collection, distribution, and integration.

Human mutation·2008
Same author

Proliferation marker securin identifies favourable outcome in invasive ductal breast cancer.

British journal of cancer·2008
Same author

A fast exact GLA based on code vector activity detection.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Recommendations for locus-specific databases and their curation.

Human mutation·2007
Same author

A structured simple form for ordering genetic tests is needed to ensure coupling of clinical detail (phenotype) with DNA variants (genotype) to ensure utility in publication and databases.

Human mutation·2007

A new algorithm, MULTICOMP, enables simultaneous comparison of multiple DNA, RNA, and amino acid sequences. This tool also analyzes secondary structural feature propensities, aiding diverse sequence and structural analyses.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Multiple sequence alignment is crucial for understanding evolutionary relationships and functional similarities between biological sequences.
  • Existing methods may be computationally intensive or lack the flexibility to handle diverse sequence types (DNA, RNA, amino acids).

Purpose of the Study:

  • To develop and present a versatile algorithm and software package for efficient multiple sequence comparison.
  • To extend the comparison technique to include the analysis of secondary structural feature propensities.

Main Methods:

  • Implementation of a novel algorithm in FORTRAN 77 for VAX/VMS systems.
  • Development of the MULTICOMP program package, offering procedures for simultaneous comparison of query sequences against multiple targets.

Related Experiment Videos

  • Adaptation of the core technique for predicting secondary structural features based on amino acid sequences.

    • Main Results:

    • Successful implementation of the MULTICOMP program package in GCG-compatible format.
    • Demonstrated capability to compare DNA, RNA, and amino acid sequences concurrently.
    • Validated application of the technique for analyzing secondary structural feature propensities.

    Conclusions:

    • The MULTICOMP package provides a powerful and flexible tool for various sequence analysis tasks.
    • The algorithm's adaptability extends its utility to structural bioinformatics and comparative genomics.
    • This approach facilitates a wide range of sequence and structural analyses in biological research.