Etool support - SFselect

 At 2013-08-27 09:48:40 AM - 

SFselect is a method for classifying genomic regions evolving under positive selection, from those evolving neutrally

SFselect can be used in different ways:

1) Classify polymorphism data using a pre-trained general model that is robust to many different combinations of (s,t) values, while maintaining high power. Barring reliable knowledge of the selective sweep, we recommend using this option.

2)Classify polymorphism data using a pre-trained specific model that is most powerful for a given combination of (s,t) values. These specific models do not generalize as well for other (s,t) values. This option may be used given reliable knowledge of the selective sweep.

3)Classify polymorphism data using your own trained model. This option may be used given reliable knowledge of the demographic history.
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