论文标题
一种基于集团的方法，用于提高基序扫描精度
A Clique-Based Method for Improving Motif Scanning Accuracy
论文作者
论文摘要
我们提出了一种基于对相似性之间的分析的分析，提出了一种提高基序扫描精度的新方法。给定一组从扫描过程获得的基序，我们构建了相关的加权图。我们还计算了此图中边缘的预期重量。事实证明，根据预期重量计算的图表中最大值的限制结果大大提高了精度，因此提高了扫描的准确性。我们对来自五个植物蛋白质组的未包装基序的蛋白质家族进行了测试。该方法适用于三个迭代主题扫描仪-Psi -blast，Jackhmmer和Igloss-，结果非常好
We present a new approach for improving motif scanning accuracy, based on analysis of in-between similarity. Given a set of motifs obtained from a scanning process, we construct an associated weighted graph. We also compute the expected weight of an edge in such a graph. It turns out that restricting results to the maximal clique in the graph, computed with respect to the expected weight, greatly increases precision, hence improves accuracy of the scan. We tested the method on an ungapped motif-characterized protein family from five plant proteomes. The method was applied to three iterative motif scanners - PSI-BLAST, JackHMMer and IGLOSS - with very good results
