Brossette S, Wartell R M
School of Biology, Georgia Institute of Technology, Atlanta 30332.
Nucleic Acids Res. 1994 Oct 11;22(20):4321-5. doi: 10.1093/nar/22.20.4321.
A computer program was developed to automate the selection of DNA fragments for detecting mutations within a long DNA sequence by denaturing gel electrophoresis methods. The program, MELTSCAN, scans through a user specified DNA sequence calculating the melting behavior of overlapping DNA fragments covering the sequence. Melting characteristics of the fragments are analyzed to determine the best fragment for detecting mutations at each base pair position in the sequence. The calculation also determines the optimal fragment for detecting mutations within a user specified mutational hot spot region. The program is built around the statistical mechanical model of the DNA melting transition. The optimal fragment for a given position is selected using the criteria that its melting curve has at least two steps, the base pair position is in the fragment's lowest melting domain, and the melting domain has the smallest number of base pairs among fragments that meet the first two criteria. The program predicted fragments for detecting mutations in the cDNA and genomic DNA of the human p53 gene.
开发了一种计算机程序,用于通过变性凝胶电泳方法自动选择用于检测长DNA序列中突变的DNA片段。该程序名为MELTSCAN,它会扫描用户指定的DNA序列,计算覆盖该序列的重叠DNA片段的解链行为。分析片段的解链特征,以确定用于检测序列中每个碱基对位置突变的最佳片段。该计算还确定了用于检测用户指定突变热点区域内突变的最佳片段。该程序是围绕DNA解链转变的统计力学模型构建的。对于给定位置的最佳片段,是根据其解链曲线至少有两个步骤、碱基对位置在片段的最低解链域中且解链域在满足前两个标准的片段中具有最少碱基对数量的标准来选择的。该程序预测了用于检测人类p53基因cDNA和基因组DNA中突变的片段。