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  Frequently Asked Questions  
What is a pattern?
In a data matrix with individuals as columns and markers as rows, a pattern is a collection of markers that have the same value for each marker for a collection of individuals. In another word, a pattern describes a unique feature (in this case, a collection of markers) that is shared among things that you are testing (in this case, individuals in a population).
What is a maximal pattern?
A maximal pattern is a pattern that is not a sub-pattern of other pattern(s). Pattern A is a sub-pattern of pattern B if they have the same support but Pattern B contains one more markers than pattern A. Pattern A is a sub-pattern of pattern B if they have the same markers but Pattern B contains one more support than pattern A.
What is the pattern discovery algorithm?
The pattern discovery algorithm efficiently identifies all maximal patterns from a data matrix with a single parameter: The minimal number of support each pattern has to have. For example, for a data matrix with 100 markers on 200 individuals, given the minimal number of support of 30, the algorithm will identify all maximal patterns that contain one or more markers whose values are shared by 30 or more individuals out of the 200 individuals.

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