SeqSIMLA: a sequence and phenotype simulation tool for complex disease studies

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Ren-Hua Chung, Chung-Chin Shih

Published: 2013, Last Modified: 12 Jan 2026BMC Bioinform. 2013EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Association studies based on next-generation sequencing (NGS) technology have become popular, and statistical association tests for NGS data have been developed rapidly. A flexible tool for simulating sequence data in either unrelated case-control or family samples with different disease and quantitative trait models would be useful for evaluating the statistical power for planning a study design and for comparing power among statistical methods based on NGS data.