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M Beissinger

Showing results (11-20 of 28) with videos related to

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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.
Journal of Molecular Biology|May 26, 1995
Mutations that stabilize folding intermediates of phage P22 tailspike protein: folding in vivo and in vitro, stability, and structural contextM Beissinger, S C Lee, S Steinbacher, 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.
Frontiers in Plant Science|April 17, 2026
Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformationBright Enogieru Osatohanmwen, Indalécio Cunha Vieira, Mahmood Gholami, et al.
Heredity|September 10, 2015
Using the variability of linkage disequilibrium between subpopulations to infer sweeps and epistatic selection in a diverse panel of chickensT M Beissinger, M Gholami, M Erbe, et al.
G3 (Bethesda, Md.)|September 26, 2020
Genomic Prediction Informed by Biological Processes Expands Our Understanding of the Genetic Architecture Underlying Free Amino Acid Traits in Dry <i>Arabidopsis</i> SeedsSarah D Turner-Hissong, Kevin A Bird, Alexander E Lipka, et al.
Genetics, Selection, Evolution : GSE|September 27, 2012
Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and geneticsXiao-Lin Wu, Chuanyu Sun, Timothy M Beissinger, et al.
Frontiers in Plant Science|December 9, 2021
Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting FrameworksCathy C Westhues, Gregory S Mahone, Sofia da Silva, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

Sort By:
Pageof 3
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.
Journal of Molecular Biology|May 26, 1995
Mutations that stabilize folding intermediates of phage P22 tailspike protein: folding in vivo and in vitro, stability, and structural contextM Beissinger, S C Lee, S Steinbacher, 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.
Frontiers in Plant Science|April 17, 2026
Predicting maize hybrid performance with machine learning and a locus-specific weighted degree of dominance transformationBright Enogieru Osatohanmwen, Indalécio Cunha Vieira, Mahmood Gholami, et al.
Heredity|September 10, 2015
Using the variability of linkage disequilibrium between subpopulations to infer sweeps and epistatic selection in a diverse panel of chickensT M Beissinger, M Gholami, M Erbe, et al.
G3 (Bethesda, Md.)|September 26, 2020
Genomic Prediction Informed by Biological Processes Expands Our Understanding of the Genetic Architecture Underlying Free Amino Acid Traits in Dry <i>Arabidopsis</i> SeedsSarah D Turner-Hissong, Kevin A Bird, Alexander E Lipka, et al.
Genetics, Selection, Evolution : GSE|September 27, 2012
Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and geneticsXiao-Lin Wu, Chuanyu Sun, Timothy M Beissinger, et al.
Frontiers in Plant Science|December 9, 2021
Prediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting FrameworksCathy C Westhues, Gregory S Mahone, Sofia da Silva, et al.
Pageof 3