Robert D. Schnabel
机构: University of Missouri
每年引用次数
引用次数
引用: 17,268
H-指数: 58
I10-指数 : 129
出版物: 226
Fine-mapping of QTL affecting protein percent and fat percent on BTA6 in a popular U.S. Holstein family.
T. S. Sonstegard , M. S. Ashwell , R. S. Schnabel , C. P. van Tassell
Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, Montpellier, France, August, 2002. Session 9. 0 -4
7
2002
Origins of cattle on Chirikof Island, Alaska, elucidated from genome-wide SNP genotypes.
J E Decker , J F Taylor , J Kantanen , A Millbrooke
Heredity 116 ( 6) 502 -505
12
2016
Validation of 15 microsatellites for parentage testing in North American bison, Bison bison and domestic cattle.
R D Schnabel , T J Ward , J N Derr
Animal Genetics 31 ( 6) 360 -366
64
2000
An ensemble-based approach to imputation of moderate-density genotypes for genomic selection with application to Angus cattle.
CHUANYU SUN , XIAO-LIN WU , KENT A. WEIGEL , GUILHERME J. M. ROSA
Genetics Research 94 ( 3) 133 -150
32
2012
Conservation genomics: disequilibrium mapping of domestic cattle chromosomal segments in North American bison populations.
NATALIE D. HALBERT , TODD J. WARD , ROBERT D. SCHNABEL , JEREMY F. TAYLOR
Molecular Ecology 14 ( 8) 2343 -2362
52
2005
Exploring genetic variation and population structure in a threatened species, Noturus placidus, with whole-genome sequence data
Lynsey K Whitacre , Mark L Wildhaber , Gary S Johnson , Harly J Durbin
G3 12 ( 4) jkac046
2022
Genome scan revealed new pathways related to meat tenderness in Nelore beef cattle.
Polyana Cristine Tizioto , JE DECKER , RD SCHNABEL , M de A MUDADU
In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Abstract... Guarujá:[sn], 2013. AB. 08.
2013
The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution
Sequencing Bovine Genome , CG Elsik , RL Tellam , KC Worley
Science 324 ( 5926) 522 -528
1,066
2009
Detection of selective sweeps in cattle using genome-wide SNP data
Robert D Schnabel , Jeremy F Taylor , Megan M Rolf , Megan M Rolf
BMC Genomics 14 ( 1) 382 -382
79
2013
Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds
Matthew C McClure , Tad S Sonstegard , George R Wiggans , Alison L Van Eenennaam
Frontiers in Genetics 4 176 -176
14
2013
SNP discovery and allele frequency estimation by deep sequencing of reduced representation libraries
Curtis P Van Tassell , Timothy P L Smith , Lakshmi K Matukumalli , Jeremy F Taylor
Nature Methods 5 ( 3) 247 -252
727
2008
Genome-wide DNA methylation analysis in precursor B-cells.
Md Almamun , Benjamin T Levinson , Susan T Gater , Robert D Schnabel
Epigenetics 9 ( 12) 1588 -1595
22
2014
36 Matching cow’s genetics to the environment using genomics
Jared E Decker , Troy N Rowan , Sara Nilson , Harly J Durbin
Journal of Animal Science 97 34 -34
2019
Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes
Polyana C Tizioto , Luiz L Coutinho , Jared E Decker , Robert D Schnabel
BMC Genomics 16 ( 1) 242 -242
78
2015
A physical map of the bovine genome.
Warren M Snelling , Readman Chiu , Jacqueline E Schein , Matthew Hobbs
Genome Biology 8 ( 8) 1 -17
71
2007
Assessment of DNA extracted from FTA cards for use on the Illumina iSelect BeadChip.
Matthew C McClure , Stephanie D McKay , Robert D Schnabel , Jeremy F Taylor
BMC Research Notes 2 ( 1) 107 -107
20
2009
The color of a Dalmatian's spots: Linkage evidence to support the TYRP1 gene
Edward J Cargill , Thomas R Famula , Robert D Schnabel , George M Strain
BMC Veterinary Research 1 ( 1) 1 -3
20
2005
Accuracy of direct genomic breeding values for nationally evaluated traits in US Limousin and Simmental beef cattle
Mahdi Saatchi , Robert D Schnabel , Megan M Rolf , Jeremy F Taylor
Genetics Selection Evolution 44 ( 1) 38 -38
53
2012
Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation
Mahdi Saatchi , Mathew C McClure , Stephanie D McKay , Megan M Rolf
Genetics Selection Evolution 43 ( 1) 40 -40
258
2011
Predicting expected progeny difference for marbling score in Angus cattle using artificial neural networks and Bayesian regression models.
Hayrettin Okut , Xiao-Liao Wu , Guilherme JM Rosa , Stewart Bauck
Genetics Selection Evolution 45 ( 1) 34 -34
30
2013