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Items: 14


Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs.

Gyawali A, Shrestha V, Guill KE, Flint-Garcia S, Beissinger TM.

BMC Plant Biol. 2019 Oct 8;19(1):412. doi: 10.1186/s12870-019-2000-y.


Integrated Genome-Scale Analysis Identifies Novel Genes and Networks Underlying Senescence in Maize.

Sekhon RS, Saski C, Kumar R, Flinn BS, Luo F, Beissinger TM, Ackerman AJ, Breitzman MW, Bridges WC, de Leon N, Kaeppler SM.

Plant Cell. 2019 Sep;31(9):1968-1989. doi: 10.1105/tpc.18.00930. Epub 2019 Jun 25.


The interplay of demography and selection during maize domestication and expansion.

Wang L, Beissinger TM, Lorant A, Ross-Ibarra C, Ross-Ibarra J, Hufford MB.

Genome Biol. 2017 Nov 13;18(1):215. doi: 10.1186/s13059-017-1346-4.


Medical Subject Heading (MeSH) annotations illuminate maize genetics and evolution.

Beissinger TM, Morota G.

Plant Methods. 2017 Feb 23;13:8. doi: 10.1186/s13007-017-0159-5. eCollection 2017.


Recent demography drives changes in linked selection across the maize genome.

Beissinger TM, Wang L, Crosby K, Durvasula A, Hufford MB, Ross-Ibarra J.

Nat Plants. 2016 Jun 13;2:16084. doi: 10.1038/nplants.2016.84.


MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in Chicken.

Morota G, Beissinger TM, Pe├▒agaricano F.

G3 (Bethesda). 2016 Aug 9;6(8):2447-53. doi: 10.1534/g3.116.031096.


Using the variability of linkage disequilibrium between subpopulations to infer sweeps and epistatic selection in a diverse panel of chickens.

Beissinger TM, Gholami M, Erbe M, Weigend S, Weigend A, de Leon N, Gianola D, Simianer H.

Heredity (Edinb). 2016 Feb;116(2):158-66. doi: 10.1038/hdy.2015.81. Epub 2015 Sep 9.


Defining window-boundaries for genomic analyses using smoothing spline techniques.

Beissinger TM, Rosa GJ, Kaeppler SM, Gianola D, de Leon N.

Genet Sel Evol. 2015 Apr 17;47:30. doi: 10.1186/s12711-015-0105-9.


Selection for silage yield and composition did not affect genomic diversity within the Wisconsin Quality Synthetic maize population.

Lorenz AJ, Beissinger TM, Silva RR, de Leon N.

G3 (Bethesda). 2015 Feb 2;5(4):541-9. doi: 10.1534/g3.114.015263.


Insights into the effects of long-term artificial selection on seed size in maize.

Hirsch CN, Flint-Garcia SA, Beissinger TM, Eichten SR, Deshpande S, Barry K, McMullen MD, Holland JB, Buckler ES, Springer N, Buell CR, de Leon N, Kaeppler SM.

Genetics. 2014 Sep;198(1):409-21. doi: 10.1534/genetics.114.167155. Epub 2014 Jul 17.


A genome-wide scan for evidence of selection in a maize population under long-term artificial selection for ear number.

Beissinger TM, Hirsch CN, Vaillancourt B, Deshpande S, Barry K, Buell CR, Kaeppler SM, Gianola D, de Leon N.

Genetics. 2014 Mar;196(3):829-40. doi: 10.1534/genetics.113.160655. Epub 2013 Dec 30.


Marker density and read depth for genotyping populations using genotyping-by-sequencing.

Beissinger TM, Hirsch CN, Sekhon RS, Foerster JM, Johnson JM, Muttoni G, Vaillancourt B, Buell CR, Kaeppler SM, de Leon N.

Genetics. 2013 Apr;193(4):1073-81. doi: 10.1534/genetics.112.147710. Epub 2013 Feb 14.


Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics.

Wu XL, Sun C, Beissinger TM, Rosa GJ, Weigel KA, Gatti Nde L, Gianola D.

Genet Sel Evol. 2012 Sep 25;44:29. doi: 10.1186/1297-9686-44-29.


A primer on high-throughput computing for genomic selection.

Wu XL, Beissinger TM, Bauck S, Woodward B, Rosa GJ, Weigel KA, Gatti Nde L, Gianola D.

Front Genet. 2011 Feb 24;2:4. doi: 10.3389/fgene.2011.00004. eCollection 2011.

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