Similar articles for PMID: 26715670

Year	Number of Results
2007	1
2008	3
2009	3
2010	2
2011	5
2012	8
2013	9
2014	6
2015	19
2016	9
2017	10
2018	16
2019	9
2020	4
2021	11
2022	6
2023	4
2024	0

1

Imputing Genotypes in Biallelic Populations from Low-Coverage Sequence Data.

Fragoso CA, Heffelfinger C, Zhao H, Dellaporta SL. Fragoso CA, et al. Genetics. 2016 Feb;202(2):487-95. doi: 10.1534/genetics.115.182071. Epub 2015 Dec 29. Genetics. 2016. PMID: 26715670 Free PMC article.

2

Evaluating Imputation Algorithms for Low-Depth Genotyping-By-Sequencing (GBS) Data.

Chan AW, Hamblin MT, Jannink JL. Chan AW, et al. PLoS One. 2016 Aug 18;11(8):e0160733. doi: 10.1371/journal.pone.0160733. eCollection 2016. PLoS One. 2016. PMID: 27537694 Free PMC article.

3

Fast imputation using medium or low-coverage sequence data.

VanRaden PM, Sun C, O'Connell JR. VanRaden PM, et al. BMC Genet. 2015 Jul 14;16:82. doi: 10.1186/s12863-015-0243-7. BMC Genet. 2015. PMID: 26168789 Free PMC article.

4

Accurate Genotype Imputation in Multiparental Populations from Low-Coverage Sequence.

Zheng C, Boer MP, van Eeuwijk FA. Zheng C, et al. Genetics. 2018 Sep;210(1):71-82. doi: 10.1534/genetics.118.300885. Epub 2018 Jul 25. Genetics. 2018. PMID: 30045858 Free PMC article.

5

IMPUTOR: Phylogenetically Aware Software for Imputation of Errors in Next-Generation Sequencing.

Jobin M, Schurz H, Henn BM. Jobin M, et al. Genome Biol Evol. 2018 Apr 1;10(5):1248-1254. doi: 10.1093/gbe/evy088. Genome Biol Evol. 2018. PMID: 29722813 Free PMC article.

6

Accounting for Errors in Low Coverage High-Throughput Sequencing Data When Constructing Genetic Maps Using Biparental Outcrossed Populations.

Bilton TP, Schofield MR, Black MA, Chagné D, Wilcox PL, Dodds KG. Bilton TP, et al. Genetics. 2018 May;209(1):65-76. doi: 10.1534/genetics.117.300627. Epub 2018 Feb 27. Genetics. 2018. PMID: 29487138 Free PMC article.

7

Impact of imputation methods on the amount of genetic variation captured by a single-nucleotide polymorphism panel in soybeans.

Xavier A, Muir WM, Rainey KM. Xavier A, et al. BMC Bioinformatics. 2016 Feb 2;17:55. doi: 10.1186/s12859-016-0899-7. BMC Bioinformatics. 2016. PMID: 26830693 Free PMC article.

8

Accuracy of imputation using the most common sires as reference population in layer chickens.

Heidaritabar M, Calus MP, Vereijken A, Groenen MA, Bastiaansen JW. Heidaritabar M, et al. BMC Genet. 2015 Aug 18;16:101. doi: 10.1186/s12863-015-0253-5. BMC Genet. 2015. PMID: 26282557 Free PMC article.

9

A comprehensive evaluation of SNP genotype imputation.

Nothnagel M, Ellinghaus D, Schreiber S, Krawczak M, Franke A. Nothnagel M, et al. Hum Genet. 2009 Mar;125(2):163-71. doi: 10.1007/s00439-008-0606-5. Epub 2008 Dec 17. Hum Genet. 2009. PMID: 19089453

10

Molgenis-impute: imputation pipeline in a box.

Kanterakis A, Deelen P, van Dijk F, Byelas H, Dijkstra M, Swertz MA. Kanterakis A, et al. BMC Res Notes. 2015 Aug 19;8:359. doi: 10.1186/s13104-015-1309-3. BMC Res Notes. 2015. PMID: 26286716 Free PMC article.

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