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Timothy M Beissinger

Showing results (1-10 of 22) with videos related to

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Plant Methods|March 3, 2017
Medical Subject Heading (MeSH) annotations illuminate maize genetics and evolutionTimothy M Beissinger, Gota Morota
G3 (Bethesda, Md.)|June 5, 2016
MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in ChickenGota Morota, Timothy M Beissinger, Francisco Peñagaricano
G3 (Bethesda, Md.)|September 20, 2022
learnMET: an R package to apply machine learning methods for genomic prediction using multi-environment trial dataCathy C Westhues, Henner Simianer, Timothy M Beissinger
G3 (Bethesda, Md.)|February 4, 2015
Selection for silage yield and composition did not affect genomic diversity within the Wisconsin Quality Synthetic maize populationAaron J Lorenz, Timothy M Beissinger, Renato Rodrigues Silva, et al.
Plant Methods|May 29, 2026
2NPLGBM: a genomic model that merges the strengths of classical and machine learning methods in genomic predictionBright Enogieru Osatohanmwen, Indalécio Cunha Vieira, Ahmad Reza Sharifi, et al.
BMC Plant Biology|October 9, 2019
Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPsAbiskar Gyawali, Vivek Shrestha, Katherine E Guill, et al.
Genetics, Selection, Evolution : GSE|May 1, 2015
Defining window-boundaries for genomic analyses using smoothing spline techniquesTimothy M Beissinger, Guilherme J M Rosa, Shawn M Kaeppler, et al.
Nature Plants|June 14, 2016
Recent demography drives changes in linked selection across the maize genomeTimothy M Beissinger, Li Wang, Kate Crosby, et al.
Genome Biology|November 15, 2017
The interplay of demography and selection during maize domestication and expansionLi Wang, Timothy M Beissinger, Anne Lorant, et al.
Current Opinion in Plant Biology|April 24, 2020
Evolutionary insights into plant breedingSarah D Turner-Hissong, Makenzie E Mabry, Timothy M Beissinger, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Plant Methods|March 3, 2017
Medical Subject Heading (MeSH) annotations illuminate maize genetics and evolutionTimothy M Beissinger, Gota Morota
G3 (Bethesda, Md.)|June 5, 2016
MeSH-Informed Enrichment Analysis and MeSH-Guided Semantic Similarity Among Functional Terms and Gene Products in ChickenGota Morota, Timothy M Beissinger, Francisco Peñagaricano
G3 (Bethesda, Md.)|September 20, 2022
learnMET: an R package to apply machine learning methods for genomic prediction using multi-environment trial dataCathy C Westhues, Henner Simianer, Timothy M Beissinger
G3 (Bethesda, Md.)|February 4, 2015
Selection for silage yield and composition did not affect genomic diversity within the Wisconsin Quality Synthetic maize populationAaron J Lorenz, Timothy M Beissinger, Renato Rodrigues Silva, et al.
Plant Methods|May 29, 2026
2NPLGBM: a genomic model that merges the strengths of classical and machine learning methods in genomic predictionBright Enogieru Osatohanmwen, Indalécio Cunha Vieira, Ahmad Reza Sharifi, et al.
BMC Plant Biology|October 9, 2019
Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPsAbiskar Gyawali, Vivek Shrestha, Katherine E Guill, et al.
Genetics, Selection, Evolution : GSE|May 1, 2015
Defining window-boundaries for genomic analyses using smoothing spline techniquesTimothy M Beissinger, Guilherme J M Rosa, Shawn M Kaeppler, et al.
Nature Plants|June 14, 2016
Recent demography drives changes in linked selection across the maize genomeTimothy M Beissinger, Li Wang, Kate Crosby, et al.
Genome Biology|November 15, 2017
The interplay of demography and selection during maize domestication and expansionLi Wang, Timothy M Beissinger, Anne Lorant, et al.
Current Opinion in Plant Biology|April 24, 2020
Evolutionary insights into plant breedingSarah D Turner-Hissong, Makenzie E Mabry, Timothy M Beissinger, et al.
Pageof 3