Like the guy pulled off the bench to relieve a starter, a bioinformatician only gets pulled into the research team when there's already a problem, blogs David Dooling at PolITiGenomics. Though there is some awareness that informatics is necessary, much of that centers on dealing with the data being generated. "There is not much discussion about how informatics can help to improve experimental design, from ensuring the clinical samples have the proper descriptive data associated with them (annotation) to specifying how many samples you need," writes Dooling.
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