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

A conceptual database model for genomic research

J W Keele1, J E Wray, D W Behrens

  • 1U.S. Department of Agriculture, Roman L. Hruska U.S. Meat Animal Research Center (MARC), Clay Center, NE 68933-0166, USA.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|January 1, 1994
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

Porcine single nucleotide polymorphisms and their functional effect: an update.

BMC research notes·2018
Same author

Age-dependent intoxication by larkspur (Delphinium) in Angus steers.

Toxicon : official journal of the International Society on Toxinology·2018
Same author

Complete inhibition of fetal movement in the day 40 pregnant goat model by the piperidine alkaloid anabasine but not related alkaloids.

Toxicon : official journal of the International Society on Toxinology·2018
Same author

Relationships between the genes expressed in the mesenteric adipose tissue of beef cattle and feed intake and gain.

Animal genetics·2017
Same author

A survey of single nucleotide polymorphisms identified from whole-genome sequencing and their functional effect in the porcine genome<sup></sup>.

Animal genetics·2017
Same author

Genome-wide copy number variation in the bovine genome detected using low coverage sequence of popular beef breeds.

Animal genetics·2016
Same journal

GMSA: A Graph Matching and Point Cloud Registration-Based Method for Spatial Transcriptomics Data Alignment.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Investigations on Multiple Protein Scaffold Filling.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Cell Type Prediction for Single-Cell RNA Sequencing Utilizing Unsupervised Domain Adaptation and Semi-Supervised Learning.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

PPIGAN: Prediction of Protein-Protein Interactions Using Generative Adversarial Networks.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Deep Structure-Enhanced Cell Clustering Model for Single-Cell RNA Sequencing Data.

Journal of computational biology : a journal of computational molecular cell biology·2026
Same journal

Asymmetric Drug-Drug Interaction Prediction Based on Generative Adversarial Networks and Knowledge Graph.

Journal of computational biology : a journal of computational molecular cell biology·2026
See all related articles

A new genome database model simplifies creating and sharing physically anchored genetic linkage maps. This tool aids researchers in animal genetics, enabling consensus map development and marker-assisted selection for improved livestock breeding.

Area of Science:

  • Genomics
  • Bioinformatics
  • Animal Genetics

Background:

  • Genetic linkage maps are crucial for understanding animal genomes and traits.
  • Current methods for map development can be fragmented and challenging to integrate.
  • Physically anchored maps provide higher resolution and utility for genetic studies.

Purpose of the Study:

  • To present a conceptual model for genome databases.
  • To facilitate the construction, maintenance, and dissemination of physically anchored genetic linkage maps.
  • To support the development of consensus maps from diverse datasets.

Main Methods:

  • Implementation of a relational database model at the Roman L. Hruska U.S. Meat Animal Research Center (MARC).
  • Integration of linkage analysis software for map updates.

Related Experiment Videos

  • Database supports disparate data from various pedigrees and laboratories.

    • Main Results:

    • The MARC genome database successfully assembles, maintains, and disseminates physically anchored genetic linkage maps for cattle, swine, and sheep.
    • The database currently incorporates over 100,000 genotypes from 1,000 markers.
    • The system supports the development of consensus maps from heterogeneous data sources.

    Conclusions:

    • The conceptual model provides a flexible framework for genome databases.
    • The implemented database enhances the efficiency of genetic map creation and utilization.
    • This resource is valuable for quantitative geneticists, population geneticists, and comparative mapping efforts.