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Code to predict the number of variants to be discovered in a large sample based on the distribution of allele frequencies in a subset of the sample. jack.py uses a jackknife approach, while lp.py uses a linear programming approach. Details about the software can be found in my paper  http://www.genetics.org/content/197/2/601.abstract. 


Predicting Discovery Rates of Genomic Features
Simon Gravel, National Heart, Lung, and Blood Institute (NHLBI) GO Exome Sequencing Project GENETICS June 1, 2014 vol. 197 no. 2 601-610; DOI: 10.1534/genetics.114.162149



This software is released under the BSD-3 license (below). The Linear Programming
software uses the gurobi optimizer, which is free for academic users. The jackknife program is standalone. 




Copyright (c) 2014, Simon Gravel
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
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    * Neither the name of the <organization> nor the
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      derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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