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6
Microarray Data Analysis Pipelines
This fourth and final example considered in this topic deals with workflows
for the analysis of microarray data based on the statistical methods provided
by Bioconductor [105]. This kind of bioinformatics workflows is frequently re-
ferred to as data analysis “pipelines”, as they typically have a simple, in fact
mostly linear, workflow structure, while the (often considerable) complexity
of the individual analysis steps is encapsulated by the services. Consequently,
the constraint-driven workflow composition functionality of the PROPHETS
plugin, which is based on a linear-time logic synthesis algorithm, can conve-
niently be used for complete, start-to-end generation of the workflows.
6.1 Background: Microarray Data Analysis
Fig. 6.1
Protein biosynthesis and the genetic code
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