Timothy M Beissinger
TitleCited byYear
Marker density and read depth for genotyping populations using genotyping-by-sequencing
TM Beissinger, CN Hirsch, RS Sekhon, JM Foerster, JM Johnson, ...
Genetics 193 (4), 1073-1081, 2013
Recent demography drives changes in linked selection across the maize genome
TM Beissinger, L Wang, K Crosby, A Durvasula, MB Hufford, ...
Nature plants 2 (7), 16084, 2016
The interplay of demography and selection during maize domestication and expansion
L Wang, TM Beissinger, A Lorant, C Ross-Ibarra, J Ross-Ibarra, ...
Genome biology 18 (1), 215, 2017
Defining window-boundaries for genomic analyses using smoothing spline techniques
TM Beissinger, GJM Rosa, SM Kaeppler, D Gianola, N De Leon
Genetics Selection Evolution 47 (1), 30, 2015
A genome-wide scan for evidence of selection in a maize population under long-term artificial selection for ear number
TM Beissinger, CN Hirsch, B Vaillancourt, S Deshpande, K Barry, ...
Genetics 196 (3), 829-840, 2014
Insights into the effects of long-term artificial selection on seed size in maize
CN Hirsch, SA Flint-Garcia, TM Beissinger, SR Eichten, S Deshpande, ...
Genetics 198 (1), 409-421, 2014
Shared genomic regions between derivatives of a large segregating population of maize identified using bulked segregant analysis sequencing and traditional linkage analysis
NJ Haase, T Beissinger, CN Hirsch, B Vaillancourt, S Deshpande, K Barry, ...
G3: Genes, Genomes, Genetics 5 (8), 1593-1602, 2015
Parallel Markov chain Monte Carlo-bridging the gap to high-performance Bayesian computation in animal breeding and genetics
XL Wu, C Sun, TM Beissinger, GJM Rosa, KA Weigel, N de Leon Gatti, ...
Genetics Selection Evolution 44 (1), 29, 2012
A primer on high-throughput computing for genomic selection
XL Wu, TM Beissinger, S Bauck, B Woodwart, GJM Rosa, N De Leon Gatti, ...
Frontiers in genetics 2, 4, 2011
MeSH-informed enrichment analysis and MeSH-guided semantic similarity among functional terms and gene products in chicken
G Morota, TM Beissinger, F Peñagaricano
G3: Genes, Genomes, Genetics 6 (8), 2447-2453, 2016
Large effect QTL explain natural phenotypic variation for the developmental timing of vegetative phase change in maize (Zea mays L.)
JM Foerster, T Beissinger, N de Leon, S Kaeppler
Theoretical and applied genetics 128 (3), 529-538, 2015
Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize
RS Sekhon, C Saski, R Kumar, B Flinn, F Luo, TM Beissinger, ...
The Plant Cell, tpc. 00930.2018, 2019
Using the variability of linkage disequilibrium between subpopulations to infer sweeps and epistatic selection in a diverse panel of chickens
TM Beissinger, M Gholami, M Erbe, S Weigend, A Weigend, N De Leon, ...
Heredity 116 (2), 158, 2016
A simple test identifies selection on complex traits
T Beissinger, J Kruppa, D Cavero, NT Ha, M Erbe, H Simianer
Genetics 209 (1), 321-333, 2018
Medical subject heading (MeSH) annotations illuminate maize genetics and evolution
TM Beissinger, G Morota
Plant methods 13 (1), 8, 2017
Parallel-BayesCpC on OSG: Grid-enabled High-throughput computing for genomic selection in practice
XL Wu, O Hayrettin, H Duan, T Beissinger, S Bauck, B Woodward, ...
Proceedings of the Plant and Animal Genome XX Conference, 14-18, 2012
Selection for silage yield and composition did not affect genomic diversity within the Wisconsin Quality Synthetic maize population
AJ Lorenz, TM Beissinger, RR Silva, N de Leon
G3: Genes, Genomes, Genetics 5 (4), 541-549, 2015
Phenotypic and genetic dissection of maize internode length
G Muttoni, JM Foerster, JM Johnson, NJ Haase, TM Beissinger, ...
Plant and animal genome XXI conference, 11-16, 2013
Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs
A Gyawali, V Shrestha, KE Guill, S Flint-Garcia, TM Beissinger
BMC plant biology 19 (1), 412, 2019
Evolutionary insights into plant breeding
SD Turner-Hissong, ME Mabry, TM Beissinger, J Ross-Ibarra, JC Pires
AgriXiv, 2019
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Articles 1–20