论文标题
搜索控制DNA灵活性的序列特征
Searching for sequence features that control DNA flexibility
论文作者
论文摘要
现代基因组学实验测量了数千种DNA序列的功能行为。我们建议，尤其是在随机选择这些序列时，自然要计算序列和测量行为之间的相关函数。例如，在依赖DNA灵活性对序列的简单模型中，可以将相关函数直接解释为相互作用参数。对最近的实验的分析表明，这是非常有效的，直接导致DNA柔韧性和预测与更复杂的模型一样准确。这种方法遵循统计物理中相关函数的常规使用，并将对相关的DNA序列特征的搜索与搜索相关的刺激特征联系起来，以分析感觉神经元。
Modern genomics experiments measure functional behaviors for many thousands of DNA sequences. We suggest that, especially when these sequences are chosen at random, it is natural to compute correlation functions between sequences and measured behaviors. In simple models for the dependence of DNA flexibility on sequence, for example, correlation functions can be interpreted directly as interaction parameters. Analysis of recent experiments shows that this is surprisingly effective, leading directly to extraction of distinct features for DNA flexibility and predictions that are as accurate as more complex models. This approach follows the conventional use of correlation functions in statistical physics and connects the search for relevant DNA sequence features to the search for relevant stimulus features in the analysis of sensory neurons.
