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Cambridge Genomic Services

Next-Generation Sequencing, Microarray and Analysis
 

A sound experimental design is crucial in order to answer your biological question and objective. "To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of." Ronald Fisher (1938) .

Experimental Design

This is where we have a wealth of experience and expertise that we can share with you. Our bioinformaticians have built a vast amount of knowledge in experimental design and have been involved in a large number of different types of analysis giving them great insight into the type of design required for most experiments to be successful. A number of important questions need answering such as the number of samples to use, the experimental variable(s), the type of comparisons required etc, all of which we can help you with. We can also provide you with good practice on sample preparation (collecting tissues, cell cultures, nucleic acid extractions) to diminish any technical bias that could be introduced during those stages.

If you need our support we suggest to start discussions in the early stages of your experimental planning. Please ask for our