Juliane Siebourg

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Functional genomics of the Gram-positive model organism Bacillus subtilis reveals valuable insights into basic concepts of cell physiology. In this study, we monitor temporal changes in the proteome, transcriptome and extracellular metabolome of B. subtilis caused by glucose starvation. For proteomic profiling, a combination of in vivo metabolic labelling(More)
Stability ranking can be used to obtain variable rankings that are highly reproducible. Such rankings are needed for robust variable selection on univariate data. In most biological experiments several replicate measurement for a variable of interest, e.g. a gene, are available. An obvious way to combine and prioritize these values is to take their average(More)
In this chapter, we review basic concepts from probability theory and computational statistics that are fundamental to evolutionary genomics. We provide a very basic introduction to statistical modeling and discuss general principles, including maximum likelihood and Bayesian inference. Markov chains, hidden Markov models, and Bayesian network models are(More)
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