Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Computational strategies for the preconditioned conjugate gradient method applied to ssSNPBLUP, with an application to a multivariate maternal model.

Genetics, selection, evolution : GSE - 13 May 2020

Vandenplas Jeremie, Eding Herwin, Bosmans Maarten, Calus Mario P L

Abstract excerpt

BACKGROUND: The single-step single nucleotide polymorphism best linear unbiased prediction (ssSNPBLUP) is one of the single-step evaluations that enable a simultaneous analysis of phenotypic and pedigree information of genotyped and non-genotyped animals with a large number of genotypes. The aim of this study was to develop and illustrate several computational strategies to efficiently solve different ssSNPBLUP...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Breeding

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cattle

Share to Computational Biology

Share to Genomics

Share to Models, Genetic

Share to Pedigree

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 32404053
DOI: 10.1186/s12711-020-00543-9
PMCID: PMC7222437

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Computational strategies for the preconditioned conjugate gradient method applied to ssSNPBLUP, with an application to a multivariate maternal model.PMID 32404053Read ↗

Efficient single-step genomic evaluation for a multibreed beef cattle population having many genotyped animals.Semantic proximity Read ↗

Technical note: Avoiding the direct inversion of the numerator relationship matrix for genotyped animals in single-step genomic best linear unbiased prediction solved with the preconditioned conjugate gradient.Semantic proximity Read ↗

Solving efficiently large single-step genomic best linear unbiased prediction models.Semantic proximity Read ↗

Convergence behavior of single-step GBLUP and SNPBLUP for different termination criteria.Semantic proximity Read ↗

Heterogeneity in convergence behaviour of the single-step SNP-BLUP model across different effects and animal groups.Semantic proximity Read ↗

Single-Step Genomic Evaluations from Theory to Practice: Using SNP Chips and Sequence Data in BLUPF90.Semantic proximity Read ↗

Efficient large-scale single-step evaluations and indirect genomic prediction of genotyped selection candidates.Semantic proximity Read ↗

Technical note: Impact of pedigree depth on convergence of single-step genomic BLUP in a purebred swine population.Semantic proximity Read ↗

Single-step SNP-BLUP with on-the-fly imputed genotypes and residual polygenic effects.Semantic proximity Read ↗

Symposium review: Single-step genomic evaluations in dairy cattle.Semantic proximity Read ↗

A class of Bayesian methods to combine large numbers of genotyped and non-genotyped animals for whole-genome analyses.Semantic proximity Read ↗

Sparse single-step genomic BLUP in crossbreeding schemes.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.