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

Mulan: multiple-sequence alignment to predict functional elements in genomic sequences.

Gabriela G Loots1, Ivan Ovcharenko

  • 1Lawrence Berkeley National Laboratory, USA.

Methods in Molecular Biology (Clifton, N.J.)
|November 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

Brain and knee joint degeneration following anterior cruciate ligament injury in a mouse model of Alzheimer's disease.

JBMR plus·2026
Same author

Using Deep Learning Models of Gene Regulation to Guide Drug Prioritization.

bioRxiv : the preprint server for biology·2026
Same author

Regulatory risk loci link disrupted androgen response to the pathophysiology of polycystic ovary syndrome.

Journal of the Endocrine Society·2026
Same author

Silencer variants are key drivers of gene up-regulation in Alzheimer's disease.

Science advances·2026
Same author

Early Unloading After ACL Rupture and Prior to Surgical Restabilization in Mice Slows Post-Traumatic Osteoarthritis Progression.

Cartilage·2026
Same author

Regional and Sexual Dimorphism in Murine Skeletal Responses to Osteocytic HIF Pathway Modulation.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society·2025
Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for Functional Validation of Terpenoid Metabolic Clusters in Nicotiana benthamiana and Aspergillus oryzae.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Mulan is a powerful bioinformatics tool for comparing genomic sequences to identify conserved elements across evolutionary time. It aids in discovering functional genomic regions and understanding evolutionary events like duplications.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Multiple sequence alignment is crucial for identifying functional genomic elements by analyzing evolutionary selective pressures.
  • Bioinformatic tools are essential for facilitating biological discoveries through genomic sequence analysis.

Purpose of the Study:

  • To introduce and describe the features of the Mulan network server, a tool for comparative genomics.
  • To highlight Mulan's capabilities in identifying conserved elements and reconstructing evolutionary events.

Main Methods:

  • Utilizes novel algorithms such as tba multisequence aligner for local conservation and multiTF for transcription factor binding site detection.
  • Integrates with genome browsers (ERC, UCSC) and databases (GALA) for enhanced analysis.

Related Experiment Videos

  • Employs local multiple alignments to represent genomic rearrangements and handles duplications for evolutionary event reconstruction.

    • Main Results:

    • Mulan effectively compares closely and distantly related genomes to find conserved elements over evolutionary timescales.
    • The tool accurately represents genomic rearrangements and facilitates the reconstruction of evolutionary events, including duplications.
    • Mulan offers interactive parameter modification, visualization options, and dynamic data access for flexible analysis.

    Conclusions:

    • Mulan provides a flexible and powerful platform for comparative genomic analysis, aiding in the identification of conserved elements and evolutionary insights.
    • The tool's integration and novel algorithms support bioinformatic-driven biological discoveries and the study of genome evolution.