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The mammalian brain is a highly complex system with levels of organization that extend from nucleotides to large networks that generate adaptive behavior. To test our understanding of brain function we need to assemble and model interactions across levels. We are doing this for a genetically diverse family of BXD strains. This family has been densely genotyped and phenotyped for thousands of brain-related...
Normalization procedures attempt to remove non-biological variance found within micro array datasets. The choice of normalization procedure is important, as it has a dramatic effect on downstream data analysis. Although many normalization procedures have been developed, comparison and evaluation of their performance is difficult. We present a method to evaluate normalization procedures by utilizing...
Acute behavioral responses to alcohol have been shown to be contributing factors to alcoholism, a disease that may be associated with high stress levels and brain injury. In this study, the LXS line of recombinant inbred mouse strains is used to develop understanding of the genetic basis of ethanol response, by finding links between genotype, gene expression data, and phenotypes associated with increased...
The analysis of human brain disease has profited enormously from systematic application of reductionist methods. But as we learn more about injury and disease susceptibility, we realize that final outcomes are due to complex interactions among systems that are essentially irreducible. How do we model and test such complexity and take into account the major roles played by genetic variation and environmental...
The subgranular zone of the dentate gyrus of sexually mature mice contains a highly variable number of pluripotent stem cells that produce a stream of intermediate progenitors which give rise to neurons and glial cells. Genetic factors, age, and the environment control variation in the fate and rate of neurogenesis. Discovery of stem cells in the adult CNS has catalyzed wide-ranging research into...
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