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    Tool Name:  

evolBoosting   Downloaded: 0   Viewed: 0
Developed By: Group of Evolutionary Genomics


The principle of this package is to use a machine learning method, boosting, to study the difference between selected population DNA samples and neutral samples. Then, boosting will produce a predictor via training (study) process. This predictor can then be used to predict new samples are whether selected or neutral.

    Documentation & Usage:  

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evolBoosting is developed and maintained by CAS-MPG Partner Institute for Computational Biology(PICB) ,Chinese Academy of Sciences. The software is only free of charge for non-commercial users.


K. Lin, H. Li, C. Schloetterer and A. Futschik(2011) Distinguishing positive selection from neutral evolution: boosting the performance of summary statistics. Genetics 187: 229-244.

    Contact Information:  

If you have any feedback or question concerning the tools you can further click the Project Website , or please feel free to contact us at lihaipengpicb.ac.cn.