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At its core, it is a generic pipelining framework that is aware of dependencies and can run steps in parallel.  
 
At its core, it is a generic pipelining framework that is aware of dependencies and can run steps in parallel.  
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Statistical genetics analyses often requires multiple steps to prepare the data, running computationally expensive analyses, and then collating the data.  
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Statistical genetics analyses (or any big data analyses in general) often requires multiple steps to prepare the data, running computationally expensive analyses, and then collating the data.  
    
Make allows you to redo part of your analyses and rerun only the parts which are affected by the change.
 
Make allows you to redo part of your analyses and rerun only the parts which are affected by the change.
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