摘要翻译：
生物学家利用随机转座子突变构建细菌敲除文库。随机突变比标准的定点突变在成本和效率上都有好处，但不能再保证所有非必要的基因都出现在文库中。在单倍体生物的随机文库中，总有一类基因没有被敲除克隆，这一类的成员要么是必需的，要么是非必需的。一个需要统计方法来估计必要基因的数量。两组研究人员，Blades和Broman以及Jacobs等人独立地同时开发了这样做的方法。刀片和布罗曼使用吉布斯采样器和雅各布斯等人。使用了参数引导。我们比较了这两种方法的性能，发现它们都依赖于有一个准确的转座子插入概率模型或有一个有大量克隆的文库。在这一点上，我们没有足够好的概率模型，所以我们必须建立每个开放阅读框架至少有五个克隆的图书馆，以准确估计必要基因的数量。
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英文标题：
《Estimating the Number of Essential Genes in Random Transposon
  Mutagenesis Libraries》
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作者：
Oliver Will, Michael A Jacobs
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最新提交年份：
2006
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类：Quantitative Biology        数量生物学
二级分类：Quantitative Methods        定量方法
分类描述：All experimental, numerical, statistical and mathematical contributions of value to biology
对生物学价值的所有实验、数值、统计和数学贡献
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英文摘要：
  Biologists use random transposon mutagenesis to construct knockout libraries for bacteria. Random mutagenesis offers cost and efficiency benefits over the standard site directed mutagenesis, but one can no longer ensure that all the nonessential genes will appear in the library. In random libraries for haploid organisms, there is always a class of genes for which knockout clones have not been made, and the members of this class are either essential or nonessential. One requires statistical methods to estimate the number of essential genes. Two groups of researchers, Blades and Broman and Jacobs et al., independently and simultaneously developed methods to do this. Blades and Broman used a Gibbs sampler and Jacobs et al. used a parametric bootstrap. We compare the performance of these two methods and find that they both depend on having an accurate probabilistic model for transposon insertion or on having a library with a large number of clones. At this point, we do not have good enough probabilistic models so we must build libraries that have at least five clones per open reading frame to accurately estimate the number of essential genes.
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PDF链接：
https://arxiv.org/pdf/q-bio/0608005