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 Concept Videos

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

64
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
64
Genetic Screens02:46

Genetic Screens

5.0K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.0K
Incomplete Dominance01:43

Incomplete Dominance

22.8K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
22.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Autoencoders with shared and specific embeddings for multi-omics data integration.

BMC bioinformatics·2025
Same author

ZMIX: estimating ancestry proportions using GWAS association Z-scores.

Bioinformatics advances·2024
Same author

Batch-effect correction in single-cell RNA sequencing data using JIVE.

Bioinformatics advances·2024
Same author

Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling.

medRxiv : the preprint server for health sciences·2024
Same author

GAUSS: a summary-statistics-based R package for accurate estimation of linkage disequilibrium for variants, Gaussian imputation, and TWAS analysis of cosmopolitan cohorts.

Bioinformatics (Oxford, England)·2024
Same author

Short term e-bicycle riding results in favorable cardiometabolic shifts in moderately active adults.

European journal of applied physiology·2024

Related Experiment Video

Updated: Jul 19, 2025

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

20.7K

KOMPUTE: imputing summary statistics of missing phenotypes in high-throughput model organism data.

Coby Warkentin1,2, Michael J O'Connell1, Donghyung Lee1

  • 1Department of Statistics, Miami University, Oxford, OH 45056, United States.

Bioinformatics Advances
|August 11, 2023
PubMed
Summary
This summary is machine-generated.

The International Mouse Phenotyping Consortium (IMPC) has incomplete gene-phenotype data. KOMPUTE is a new method to impute missing data, improving the functional catalog of mammalian genes.

More Related Videos

Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants
11:44

Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants

Published on: May 13, 2015

10.0K
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

9.8K

Related Experiment Videos

Last Updated: Jul 19, 2025

In Vivo Modeling of the Morbid Human Genome using Danio rerio
12:31

In Vivo Modeling of the Morbid Human Genome using Danio rerio

Published on: August 24, 2013

20.7K
Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants
11:44

Generation and Multi-phenotypic High-content Screening of Coxiella burnetii Transposon Mutants

Published on: May 13, 2015

10.0K
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

9.8K

Area of Science:

  • Genomics
  • Bioinformatics
  • Systems Biology

Background:

  • The International Mouse Phenotyping Consortium (IMPC) aims to create a comprehensive catalog of gene function through systematic phenotyping of knockout mice.
  • Current IMPC data is significantly incomplete, with approximately 75.6% of gene-phenotype association statistics missing.

Purpose of the Study:

  • To address the challenge of missing data in the IMPC dataset.
  • To introduce KOMPUTE, a novel method for imputing missing gene-phenotype association summary statistics.

Main Methods:

  • KOMPUTE utilizes the conditional distribution properties of multivariate normal distributions.
  • The method estimates Z-scores for unmeasured phenotypes based on measured phenotypes for a given gene.

Main Results:

  • KOMPUTE demonstrates superior performance compared to singular value decomposition matrix completion.
  • The method's effectiveness was validated using both simulated and real-world datasets across various phenotype domains.

Conclusions:

  • KOMPUTE offers a robust solution for imputing missing summary statistics in large-scale phenotyping datasets.
  • This method will enhance the completeness and utility of the IMPC functional gene catalog.