Genomic Prediction Accuracy Using Haplotypes Defined by Size and Hierarchical Clustering Based on Linkage Disequilibrium

Frontiers in Genetics - Switzerland
doi 10.3389/fgene.2020.00134
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Frontiers Media SA

Related search

Accurate Estimation of Effective Population Size in the Korean Dairy Cattle Based on Linkage Disequilibrium Corrected by Genomic Relationship Matrix

Asian-Australasian Journal of Animal Sciences
Animal ScienceZoologyFood Science
2013English

Bayesian Analysis of Haplotypes for Linkage Disequilibrium Mapping

Genome Research
Genetics
2001English

A Markov Prediction Model Based on Page Hierarchical Clustering

International Journal of Distributed Sensor Networks
Computer NetworksEngineeringCommunications
2009English

Intrahaplotypic Variants Differentiate Complex Linkage Disequilibrium Within Human MHC Haplotypes

Scientific Reports
Multidisciplinary
2015English

Genomic Prediction of Milk Fat Using Fixed Length Haplotypes

2016English

Hierarchical Clustering Better Than Average-Linkage

2019English

Genomic Prediction in Pea: Effect of Marker Density and Training Population Size and Composition on Prediction Accuracy

Frontiers in Plant Science
Plant Science
2015English

Division of Linkage Disequilibrium Between Absolute Linkage Disequilibrium and Linkage Equilibrium

Journal of Human Genetics
Genetics
2005English

Short Communication: The Combined Use of Linkage Disequilibrium–based Haploblocks and Allele Frequency–based Haplotype Selection Methods Enhances Genomic Evaluation Accuracy in Dairy Cattle

Journal of Dairy Science
Animal ScienceZoologyGeneticsFood Science
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy