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

MPHASYS: a mouse phenotype analysis system.

R Brent Calder1, Rudolf B Beems, Harry van Steeg

  • 1Buck Institute for Age Research, Novato, California, USA. bcalder@buckinstitute.org

BMC Bioinformatics
|June 8, 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

Mutagen-induced somatic mutation rate in primary mammalian cells in relation to maximum life span.

Geromedicine·2026
Same author

The aging genome exhibits organized vulnerability to somatic mutations.

bioRxiv : the preprint server for biology·2026
Same author

Evidence for negative selection against somatic mutations induced in normal fibroblasts by <i>N</i>-ethyl-<i>N</i>-nitrosourea.

Genome research·2026
Same author

High cancer-associated mutational burden in normal blood of xeroderma pigmentosum group C, but not groups A, D, or F.

Blood neoplasia·2026
Same author

Genetic links between multimorbidity and human aging.

GeroScience·2025
Same author

Mass spectrometry-based profiling of single-cell histone post-translational modifications to dissect chromatin heterogeneity.

Nature communications·2025
Same journal

Covariance decomposition for distance based species tree estimation.

BMC bioinformatics·2026
Same journal

SNPio: a Python interface for population genomic data processing.

BMC bioinformatics·2026
Same journal

SpaHNR: a spatial domain identification method via sparse attention-based hierarchical node representation and multi-view contrastive learning.

BMC bioinformatics·2026
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
See all related articles

A new Mouse Phenotype Analysis System (MPHASYS) integrates diverse data for individual mouse studies. This computational platform aids in discovering subtle associations and compound phenotypes in mouse models of human diseases.

Area of Science:

  • Computational biology
  • Genomics
  • Translational research

Background:

  • High-throughput mouse phenotype studies face challenges integrating diverse data sources.
  • Current methods often compare genotypes or treatments, missing subtle or compound phenotype associations.
  • Lack of standardized ontologies and data exchange hinders collaboration and discovery.

Purpose of the Study:

  • To introduce MPHASYS, a computational platform for integrating and analyzing individual mouse data.
  • To provide a standardized framework for data entry, analysis, sharing, and accurate data capture.
  • To facilitate the study of complex phenotypes in mouse models of human diseases.

Main Methods:

  • Development of the Mouse Phenotype Analysis System (MPHASYS).

Related Experiment Videos

  • Implementation of standardized ontologies and methodologies for data capture and exchange.
  • Application of MPHASYS tools, focusing on mouse pathology, in a specific genetic mutation study.
  • Main Results:

    • MPHASYS enables integrated analysis of multiple data types from individual animals.
    • The platform supports the development of data analysis applications.
    • Tools for collecting and distributing high-quality data are provided.

    Conclusions:

    • MPHASYS offers a unified system for analyzing complex mouse phenotype data.
    • It enhances data quality, sharing, and collaboration in biomedical research.
    • The platform is freely available, open-source, and platform-independent.