Mann Tobias, Humbert Richard, Dorschner Michael, Stamatoyannopoulos John, Noble William Stafford
Department of Genome Sciences, University of Washington, Seattle, WA, USA.
Nucleic Acids Res. 2009 Jul;37(13):e95. doi: 10.1093/nar/gkp443. Epub 2009 Jun 15.
We developed a primer design method, Pythia, in which state of the art DNA binding affinity computations are directly integrated into the primer design process. We use chemical reaction equilibrium analysis to integrate multiple binding energy calculations into a conservative measure of polymerase chain reaction (PCR) efficiency, and a precomputed index on genomic sequences to evaluate primer specificity. We show that Pythia can design primers with success rates comparable with those of current methods, but yields much higher coverage in difficult genomic regions. For example, in RepeatMasked sequences in the human genome, Pythia achieved a median coverage of 89% as compared with a median coverage of 51% for Primer3. For parameter settings yielding sensitivities of 81%, our method has a recall of 97%, compared with the Primer3 recall of 48%. Because our primer design approach is based on the chemistry of DNA interactions, it has fewer and more physically meaningful parameters than current methods, and is therefore easier to adjust to specific experimental requirements. Our software is freely available at http://pythia.sourceforge.net.
我们开发了一种引物设计方法——皮提亚(Pythia),该方法将最先进的DNA结合亲和力计算直接整合到引物设计过程中。我们利用化学反应平衡分析,将多个结合能计算整合为聚合酶链反应(PCR)效率的一种保守度量,并利用基因组序列上的预计算索引来评估引物特异性。我们表明,皮提亚能够设计出成功率与当前方法相当的引物,但在困难的基因组区域能实现更高的覆盖率。例如,在人类基因组的重复序列掩码(RepeatMasked)序列中,皮提亚的中位覆盖率达到了89%,而Primer3的中位覆盖率为51%。对于灵敏度为81%的参数设置,我们的方法召回率为97%,而Primer3的召回率为48%。由于我们的引物设计方法基于DNA相互作用的化学原理,与当前方法相比,它具有更少且更具物理意义的参数,因此更容易根据特定实验要求进行调整。我们的软件可在http://pythia.sourceforge.net免费获取。