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

IMpRH server: an RH mapping server available on the Web.

D Milan1, R Hawken, C Cabau

  • 1Laboratoire de Génétique Cellulaire, INRA, BP27, 31326 Castanet-Tolosan, France. milan@toulouse.inra.fr

Bioinformatics (Oxford, England)
|September 12, 2000
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

Search for Quasiparticle Scattering in the Quark-Gluon Plasma with Jet Splittings in pp and Pb-Pb Collisions at sqrt[s_{NN}]=5.02  TeV.

Physical review letters·2025
Same author

First Measurement of A=4 Hypernuclei and Antihypernuclei at the LHC.

Physical review letters·2025
Same author

Exploring superconductivity under strong coupling with the vacuum electromagnetic field.

The Journal of chemical physics·2025
Same author

Probing Strangeness Hadronization with Event-by-Event Production of Multistrange Hadrons.

Physical review letters·2025
Same author

A simple prognostic score to predict recurrence after pancreaticoduodenectomy for ampullary carcinoma: results from the French prospective FFCD-AC cohort.

ESMO open·2024
Same author

Measurements of Chemical Potentials in Pb-Pb Collisions at sqrt[s_{NN}]=5.02  TeV.

Physical review letters·2024
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

The INRA-Minnesota Porcine Radiation Hybrid (IMpRH) Server offers a mapping tool for new marker analysis and a database for submitting and querying results. This platform facilitates sharing of public, semi-private, and private porcine genetic data.

Area of Science:

  • Genomics
  • Bioinformatics
  • Animal Genetics

Background:

  • Radiation hybrid mapping is crucial for constructing genetic maps in livestock.
  • Accurate and accessible genetic mapping tools are needed for porcine research.
  • Previous methods lacked a centralized, integrated platform for data submission and analysis.

Purpose of the Study:

  • To introduce the INRA-Minnesota Porcine Radiation Hybrid (IMpRH) Server.
  • To provide a comprehensive tool for porcine marker mapping and data management.
  • To establish an official repository for porcine radiation hybrid mapping data.

Main Methods:

  • Development of the IMpRH mapping tool for relative marker placement.
  • Creation of the IMpRH database for official data submission and retrieval.

Related Experiment Videos

  • Implementation of data sharing capabilities for public, semi-private, and private information.
  • Main Results:

    • The IMpRH Server is operational, offering both mapping and database functionalities.
    • The mapping tool allows precise localization of new markers against existing datasets.
    • The database serves as an official hub for porcine radiation hybrid mapping results.

    Conclusions:

    • The IMpRH Server enhances porcine genetic mapping efficiency and data accessibility.
    • It provides a centralized platform for researchers to submit, query, and share mapping data.
    • The server supports collaborative research through the management of diverse data privacy levels.