Now showing items 1-4 of 4

    • Bayesian Models for Detecting Epistatic Interactions from Genetic Data 

      Zhang, Yu; Jiang, Bo; Zhu, Jun; Liu, Jun (Wiley-Blackwell, 2010)
      Current disease association studies are routinely conducted on a genome-wide scale, testing hundreds of thousands or millions of genetic markers. Besides detecting marginal associations of individual markers with the ...
    • A biophysical protein folding model accounts for most mutational fitness effects in viruses 

      Wylie, C; Shakhnovich, Eugene Isaacovitch (Proceedings of the National Academy of Sciences, 2011)
      Fitness effects of mutations fall on a continuum ranging from lethal to deleterious to beneficial. The distribution of fitness effects (DFE) among random mutations is an essential component of every evolutionary model and ...
    • Large-Effect Beneficial Synonymous Mutations Mediate Rapid and Parallel Adaptation in a Bacterium 

      Agashe, Deepa; Sane, Mrudula; Phalnikar, Kruttika; Diwan, Gaurav D.; Habibullah, Alefiyah; Martinez-Gomez, Norma Cecilia; Sahasrabuddhe, Vinaya; Polachek, William; Wang, Jue; Chubiz, Lon M.; Marx, Christopher J. (Oxford University Press, 2016)
      Contrary to previous understanding, recent evidence indicates that synonymous codon changes may sometimes face strong selection. However, it remains difficult to generalize the nature, strength, and mechanism(s) of such ...
    • Patterns of molecular evolution and epistasis on a genomic and genic scale 

      Jiang, Pan-Pan (2013-10-08)
      Epistasis describes non-additive interactions which affect gene expression and phenotype. It can happen on multiple levels, including on a genomic level with interactions between genes or even chromosomes affecting global ...