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

ParIS Genome Rearrangement server.

I Miklós1, P Ittzés, J Hein

  • 1Theoretical Biology and Ecology Modelling Group, Hungarian Academy of Sciences and Eötvös Loránd University, Pázmány Péter Sétány 1/c. H-1117 Budapest, Hungary. miklosi@ramet.elte.hu

Bioinformatics (Oxford, England)
|October 14, 2004
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

Using Hologram-Based Augmented Reality in Anatomy Learning: The TEACHANATOMY Randomized Trial.

Academic medicine : journal of the Association of American Medical Colleges·2025
Same author

Characterization and application of nonlinear plastic materials for post-CPA pulse compression.

Optics letters·2020
Same author

Impact of white-spotting alleles, including W20, on phenotype in the American Paint Horse.

Animal genetics·2020
Same author

Efficient Laser-Driven Proton Acceleration from a Cryogenic Solid Hydrogen Target.

Scientific reports·2019
Same author

[Minimally invasive vs. open partial nephrectomy : Perioperative success and complication rates].

Der Urologe. Ausg. A·2018
Same author

Bridging the gap between climate models and impact studies: the FORESEE Database.

Geoscience data journal·2017
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026
Same journal

Informative Relational Learning for Adverse Reaction Prediction with Enhanced Generalization to Novel Drugs.

Bioinformatics (Oxford, England)·2026
Same journal

An interpretable deep learning framework uncovers features governing CRISPR-Cas9 genome-editing efficiency.

Bioinformatics (Oxford, England)·2026
Same journal

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

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

ParIS Genome Rearrangement offers Bayesian analysis for unichromosomal genome pairs, modeling inversions and transpositions. This tool aids in understanding genome evolution and mutation patterns.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genome rearrangements are crucial evolutionary events.
  • Understanding these rearrangements aids in comparative genomics and evolutionary studies.

Purpose of the Study:

  • To develop a computational tool for analyzing genome rearrangements.
  • To provide a Bayesian framework for studying unichromosomal genome pairs.

Main Methods:

  • Developed the ParIS Genome Rearrangement web server.
  • Implemented a Bayesian analysis using a Markov chain and Partial Importance Sampler.
  • Modeled inversions, transpositions, and inverted transpositions.

Main Results:

  • The server enables analysis of genome evolution between unichromosomal pairs.

Related Experiment Videos

  • Users can obtain posterior distributions for mutation counts and lengths.
  • Provides options for analyzing mutation occurrences at specific genomic sites.
  • Conclusions:

    • ParIS Genome Rearrangement offers a robust platform for genome rearrangement analysis.
    • The server provides flexible output options, including text and graphics.
    • A downloadable version and a mitochondrial gene order database are available.