SEQPower provides statistical power analysis and sample size estimation for sequence-based association studies

• Gao Wang, Baylor College of Medicine
• Biao Li, Baylor College of Medicine
• Regie Lyn Santos-Cortez, Baylor College of Medicine
• Bo Peng, The University of Texas MD Anderson Cancer Center
• Suzanne Leal, Baylor College of Medicine

• Power and sample size calculation for rare variant association study designs
• Power comparison of rare variant association methods
• Validation and evaluation of novel association tests

Here is a short tutorial using SEQPower to perform power analysis. We encourage you to walk through this minimal example to get a feel of the software and assess its helpfulness.

G. T. Wang, B. Li, R. L. P. Santos-Cortez, B. Peng and S. M. Leal, Power analysis and sample size estimation for sequence-based association studies. Bioinformatics. (2014) [pubmed]

Development of SEQPower was supported by the NHLBI Exome Sequencing Project, the Minority Health GRID project, and the Centers for Mendelian Genomics.

• 2015.07.20 Release of SEQPower 1.1.0
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• 2014.08.20 Release of SEQPower 1.0.1
  • What's new? >>
• 2014.06.10 Release of SEQPower 1.0.0
• 2014.01.22 Release of SEQPower 1.0 rc1
• 2013.10.08 Release of SEQPower 1.0 beta
• 2013.05.05 Initial public release, under project name RarePower
• 2010.07.31 Project conceived