Cheng Yongxi, Du Ding-Zhu
Institute for Theoretical Computer Science, Tsinghua University, Beijing, China.
J Comput Biol. 2008 Mar;15(2):195-205. doi: 10.1089/cmb.2007.0195.
The study of gene functions requires a DNA library of high quality, such a library is obtained from a large mount of testing and screening. Pooling design is a very helpful tool for reducing the number of tests for DNA library screening. In this paper, we present new one- and two-stage pooling designs, together with new probabilistic pooling designs. The approach in this paper works for both error-free and error-tolerance scenarios.
基因功能的研究需要高质量的DNA文库，这样的文库是通过大量的测试和筛选获得的。合并设计是减少DNA文库筛选测试数量的非常有用的工具。在本文中，我们提出了新的单阶段和两阶段合并设计，以及新的概率合并设计。本文中的方法适用于无错误和容错两种情况。
