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Abstract:
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The analysis of genomic data is not merely the simple application of statistical methods to genomic analysis. It requires both statistical skills and scientific thinking, and blends the analyst and the biologist. This talk will illustrate the importance of scientific thinking with a detailed example from a study of the genomic response to social challenge in honey bees. A blind application of standard analysis pipelines resulted in misleading conclusions, while serious scientific thinking recovered meaningful results and led to new lines of research. This example will motivate a discussion of general principles for practicing genomic data analysis, as well as strategies for teaching.
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