scholarly article | Q13442814 |
P819 | ADS bibcode | 2016PLoSO..1161719W |
P356 | DOI | 10.1371/JOURNAL.PONE.0161719 |
P3181 | OpenCitations bibliographic resource ID | 3759468 |
P932 | PMC publication ID | 5008792 |
P698 | PubMed publication ID | 27583971 |
P2093 | author name string | Jun He | |
Jeremy F Taylor | |||
Jeremy Walker | |||
Barry Simpson | |||
Xiao-Lin Wu | |||
George R Wiggans | |||
Changsong Qian | |||
Jiaqi Xu | |||
Stewart Bauck | |||
Jiansheng Qiu | |||
Guofei Feng | |||
P2860 | cites work | Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering | Q24655574 |
Development and characterization of a high density SNP genotyping assay for cattle | Q27349568 | ||
Design of a bovine low-density SNP array optimized for imputation | Q28730891 | ||
Linkage disequilibrium reveals different demographic history in egg laying chickens | Q33746950 | ||
Accuracy of direct genomic values in Holstein bulls and cows using subsets of SNP markers. | Q34243312 | ||
A powerful tool for genome analysis in maize: development and evaluation of the high density 600 k SNP genotyping array. | Q34318417 | ||
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Development and validation of a high density SNP genotyping array for Atlantic salmon (Salmo salar). | Q35093832 | ||
Genomic selection using low-density marker panels | Q37173399 | ||
Single nucleotide polymorphism arrays: a decade of biological, computational and technological advances | Q37273694 | ||
Predicting expected progeny difference for marbling score in Angus cattle using artificial neural networks and Bayesian regression models | Q37364405 | ||
The utility of low-density genotyping for imputation in the Thoroughbred horse | Q37594612 | ||
Marker imputation with low-density marker panels in Dutch Holstein cattle | Q39825305 | ||
Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy | Q40549428 | ||
Coverage and efficiency in current SNP chips. | Q42104486 | ||
Hot topic: performance of bovine high-density genotyping platforms in Holsteins and Jerseys | Q42626490 | ||
Predictive ability of direct genomic values for lifetime net merit of Holstein sires using selected subsets of single nucleotide polymorphism markers. | Q45264932 | ||
Effect of imputing markers from a low-density chip on the reliability of genomic breeding values in Holstein populations. | Q45345608 | ||
Use of the Illumina Bovine3K BeadChip in dairy genomic evaluation. | Q51357487 | ||
Technical note: Characteristics and use of the Illumina BovineLD and GeneSeek Genomic Profiler low-density bead chips for genomic evaluation. | Q51534836 | ||
P275 | copyright license | Creative Commons CC0 License | Q6938433 |
P6216 | copyright status | copyrighted, dedicated to the public domain by copyright holder | Q88088423 |
P433 | issue | 9 | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | e0161719 | |
P577 | publication date | 2016-01-01 | |
P1433 | published in | PLOS One | Q564954 |
P1476 | title | Optimal Design of Low-Density SNP Arrays for Genomic Prediction: Algorithm and Applications | |
P478 | volume | 11 |
Q48113892 | Comparing strategies for selection of low-density SNPs for imputation-mediated genomic prediction in U. S. Holsteins. |
Q93050151 | Family-specific genotype arrays increase the accuracy of pedigree-based imputation at very low marker densities |
Q92663483 | Genomic Predictions Using Low-Density SNP Markers, Pedigree and GWAS Information: A Case Study with the Non-Model Species Eucalyptus cladocalyx |
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