1381 related articles for article (PubMed ID: 28381212)
1. Low-depth genotyping-by-sequencing (GBS) in a bovine population: strategies to maximize the selection of high quality genotypes and the accuracy of imputation.
Brouard JS; Boyle B; Ibeagha-Awemu EM; Bissonnette N
BMC Genet; 2017 Apr; 18(1):32. PubMed ID: 28381212
[TBL] [Abstract][Full Text] [Related]
2. Whole-genome characterization in pedigreed non-human primates using genotyping-by-sequencing (GBS) and imputation.
Bimber BN; Raboin MJ; Letaw J; Nevonen KA; Spindel JE; McCouch SR; Cervera-Juanes R; Spindel E; Carbone L; Ferguson B; Vinson A
BMC Genomics; 2016 Aug; 17(1):676. PubMed ID: 27558348
[TBL] [Abstract][Full Text] [Related]
3. Scanning and Filling: Ultra-Dense SNP Genotyping Combining Genotyping-By-Sequencing, SNP Array and Whole-Genome Resequencing Data.
Torkamaneh D; Belzile F
PLoS One; 2015; 10(7):e0131533. PubMed ID: 26161900
[TBL] [Abstract][Full Text] [Related]
4. Genome-Wide SNP Calling from Genotyping by Sequencing (GBS) Data: A Comparison of Seven Pipelines and Two Sequencing Technologies.
Torkamaneh D; Laroche J; Belzile F
PLoS One; 2016; 11(8):e0161333. PubMed ID: 27547936
[TBL] [Abstract][Full Text] [Related]
5. Evaluating Imputation Algorithms for Low-Depth Genotyping-By-Sequencing (GBS) Data.
Chan AW; Hamblin MT; Jannink JL
PLoS One; 2016; 11(8):e0160733. PubMed ID: 27537694
[TBL] [Abstract][Full Text] [Related]
6. Exploring the potential and limitations of genotyping-by-sequencing for SNP discovery and genotyping in tetraploid potato.
Bastien M; Boudhrioua C; Fortin G; Belzile F
Genome; 2018 Jun; 61(6):449-456. PubMed ID: 29688035
[TBL] [Abstract][Full Text] [Related]
7. Potential of genotyping-by-sequencing for genomic selection in livestock populations.
Gorjanc G; Cleveland MA; Houston RD; Hickey JM
Genet Sel Evol; 2015 Mar; 47(1):12. PubMed ID: 25887531
[TBL] [Abstract][Full Text] [Related]
8. Comparison among three variant callers and assessment of the accuracy of imputation from SNP array data to whole-genome sequence level in chicken.
Ni G; Strom TM; Pausch H; Reimer C; Preisinger R; Simianer H; Erbe M
BMC Genomics; 2015 Oct; 16():824. PubMed ID: 26486989
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of the accuracy of imputed sequence variant genotypes and their utility for causal variant detection in cattle.
Pausch H; MacLeod IM; Fries R; Emmerling R; Bowman PJ; Daetwyler HD; Goddard ME
Genet Sel Evol; 2017 Feb; 49(1):24. PubMed ID: 28222685
[TBL] [Abstract][Full Text] [Related]
10. Phased Genotyping-by-Sequencing Enhances Analysis of Genetic Diversity and Reveals Divergent Copy Number Variants in Maize.
Manching H; Sengupta S; Hopper KR; Polson SW; Ji Y; Wisser RJ
G3 (Bethesda); 2017 Jul; 7(7):2161-2170. PubMed ID: 28526729
[TBL] [Abstract][Full Text] [Related]
11. UGbS-Flex, a novel bioinformatics pipeline for imputation-free SNP discovery in polyploids without a reference genome: finger millet as a case study.
Qi P; Gimode D; Saha D; Schröder S; Chakraborty D; Wang X; Dida MM; Malmberg RL; Devos KM
BMC Plant Biol; 2018 Jun; 18(1):117. PubMed ID: 29902967
[TBL] [Abstract][Full Text] [Related]
12. Imputation accuracy of wheat genotyping-by-sequencing (GBS) data using barley and wheat genome references.
Alipour H; Bai G; Zhang G; Bihamta MR; Mohammadi V; Peyghambari SA
PLoS One; 2019; 14(1):e0208614. PubMed ID: 30615624
[TBL] [Abstract][Full Text] [Related]
13. LinkImputeR: user-guided genotype calling and imputation for non-model organisms.
Money D; Migicovsky Z; Gardner K; Myles S
BMC Genomics; 2017 Jul; 18(1):523. PubMed ID: 28693460
[TBL] [Abstract][Full Text] [Related]
14. Imputation of genotypes from low density (50,000 markers) to high density (700,000 markers) of cows from research herds in Europe, North America, and Australasia using 2 reference populations.
Pryce JE; Johnston J; Hayes BJ; Sahana G; Weigel KA; McParland S; Spurlock D; Krattenmacher N; Spelman RJ; Wall E; Calus MP
J Dairy Sci; 2014 Mar; 97(3):1799-811. PubMed ID: 24472132
[TBL] [Abstract][Full Text] [Related]
15. Validation of Genotyping-By-Sequencing Analysis in Populations of Tetraploid Alfalfa by 454 Sequencing.
Rocher S; Jean M; Castonguay Y; Belzile F
PLoS One; 2015; 10(6):e0131918. PubMed ID: 26115486
[TBL] [Abstract][Full Text] [Related]
16. The feasibility of using low-density marker panels for genotype imputation and genomic prediction of crossbred dairy cattle of East Africa.
Aliloo H; Mrode R; Okeyo AM; Ni G; Goddard ME; Gibson JP
J Dairy Sci; 2018 Oct; 101(10):9108-9127. PubMed ID: 30077450
[TBL] [Abstract][Full Text] [Related]
17. Genotyping by sequencing for genomic prediction in a soybean breeding population.
Jarquín D; Kocak K; Posadas L; Hyma K; Jedlicka J; Graef G; Lorenz A
BMC Genomics; 2014 Aug; 15(1):740. PubMed ID: 25174348
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatic analysis of genotype by sequencing (GBS) data with NGSEP.
Perea C; De La Hoz JF; Cruz DF; Lobaton JD; Izquierdo P; Quintero JC; Raatz B; Duitama J
BMC Genomics; 2016 Aug; 17 Suppl 5(Suppl 5):498. PubMed ID: 27585926
[TBL] [Abstract][Full Text] [Related]
19. [Impacts of SNP genotyping call rate and SNP genotyping error rate on imputation accuracy inHolsteincattle].
Li Z; He J; Jiang J; G Tait R; Bauck S; Guo W; Wu XL
Yi Chuan; 2019 Jul; 41(7):644-652. PubMed ID: 31307973
[TBL] [Abstract][Full Text] [Related]
20. A comparison of genotyping-by-sequencing analysis methods on low-coverage crop datasets shows advantages of a new workflow, GB-eaSy.
Wickland DP; Battu G; Hudson KA; Diers BW; Hudson ME
BMC Bioinformatics; 2017 Dec; 18(1):586. PubMed ID: 29281959
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
