mixture classification, constraint optimization, outlier detection, population structure, admixture history, and selection detection.
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Identifying individuals and populations in qpas and selscan output #19
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gaxyz opened 1 year ago
Hello Jade, thank you for developing Ohana,
I am having trouble identifying individuals and populations in the output files as they contain generic names (0,1,2,3,...).
What do you reccommend for inequivocally identifying which individual/population corresponds to each row/column in the output files?
Thanks,
gaston