Alexander Edward Lipka
Senior Editor

Alexander Edward Lipka leads a research team at the University of Illinois that applies cutting-edge statistical approaches to quantitative genetics analyses, resulting in more accurate quantification of genomic signals underlying phenotypic variation and prediction of breeding values of agronomically important traits. His lab also develops freely available software that enables the broader research community to apply these approaches to their own work. Here are some examples of publications from his lab:

References

  • Olatoye MO, Clark LV, Labonte NR, Dong H, Dwiyanti MS, Anzoua KG, Brummer JE, Ghimire BK, Dzyubenko E, Dzyubenko N, LBagmet L, Sabitov A, Chebukin P, Głowacka K, Heo K, Jin X, Nagano H, Peng J, Yu CY, Yoo JH, Zhao H, Long SP, Yamada T, Sacks EJ and Lipka AE (2020). “Training Population Optimization for Genomic Selection in Miscanthus.” G3: Genes, Genomes, Genetics: 10(7), 2465-2476

  • Murphy MD, Fernandes SB, Morota G, Lipka AE (2022). “Assessment of two statistical approaches for variance genome-wide association studies in plants.” Heredity 129(2): 93-102. DOI: 10.1038/s41437-022-00541-1

  • Fernandes SB and Lipka AE (2020). “simplePHENOTYPES: simulation of pleiotropic, linked and epistatic phenotypes.” BMC Bioinformatics: 21(1), 491.

     

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