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

Introduction to comparing large sequence sets.

Roderic D M Page1

  • 1University of Glasgow, Glasgow, Scotland.

Current Protocols in Bioinformatics
|April 23, 2008
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

Wikidata and the bibliography of life.

PeerJ·2022
Same author

COMMENTS ON COMPONENT-COMPATIBILITY IN HISTORICAL BIOGEOGRAPHY.

Cladistics : the international journal of the Willi Hennig Society·2021
Same author

COMPONENT ANALYSIS: A VALIANT FAILURE?

Cladistics : the international journal of the Willi Hennig Society·2021
Same author

ON DESCRIBING THE SHAPE OF ROOTED AND UNROOTED TREES.

Cladistics : the international journal of the Willi Hennig Society·2021
Same author

COMMENTS ON THE INFORMATION CONTENT OF CLASSIFICATIONS.

Cladistics : the international journal of the Willi Hennig Society·2021
Same author

People are essential to linking biodiversity data.

Database : the journal of biological databases and curation·2021
Same journal

Protein Sequence Analysis Using the MPI Bioinformatics Toolkit.

Current protocols in bioinformatics·2020
Same journal

Exploring Manually Curated Annotations of Intrinsically Disordered Proteins with DisProt.

Current protocols in bioinformatics·2020
Same journal

Network Building with the Cytoscape BioGateway App Explained in Five Use Cases.

Current protocols in bioinformatics·2020
Same journal

Expanding the Perseus Software for Omics Data Analysis With Custom Plugins.

Current protocols in bioinformatics·2020
Same journal

Exploring Non-Coding RNAs in RNAcentral.

Current protocols in bioinformatics·2020
Same journal

How to Illuminate the Dark Proteome Using the Multi-omic OpenProt Resource.

Current protocols in bioinformatics·2020
See all related articles

Whole genome comparisons reveal evolutionary insights. This study compares MUMmer and PipMaker, two distinct tools for aligning entire genome sequences, highlighting their algorithmic and user interface differences.

Area of Science:

  • Genomics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Whole genome comparisons are crucial for understanding genome evolution.
  • Key evolutionary events include inversions (bacteria) and duplications (human genome).

Purpose of the Study:

  • To compare two prominent whole genome sequence alignment tools: MUMmer and PipMaker.
  • To highlight differences in their methodologies and user interaction.

Main Methods:

  • Comparative analysis of MUMmer and PipMaker.
  • Examination of underlying algorithms.
  • Evaluation of user interface design.

Main Results:

  • MUMmer and PipMaker employ different algorithms for genome alignment.

Related Experiment Videos

  • The tools present distinct user interfaces to researchers.
  • These differences impact usability and application.

    • Conclusions:

    • The choice between MUMmer and PipMaker depends on specific research needs and user preference.
    • Understanding tool-specific features is essential for effective whole genome analysis.