Kislyuk Andrey, Lomsadze Alexandre, Lapidus Alla L, Borodovsky Mark
School of Biology, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
Int J Bioinform Res Appl. 2009;5(4):458-77. doi: 10.1504/IJBRA.2009.027519.
We have developed a new method for frameshift detection, a combination of ab initio and alignment-based algorithms, that can serve as a useful tool for sequencing quality control in the next generation sequencing. We evaluated the method's accuracy on test sets of annotated genomic sequences with artificial frameshifts in protein coding regions. These tests have shown that the new method performs comparably to the earlier developed FrameD. On the sets of sequences produced by 454 pyrosequencing with sequence errors recovered by Sanger re-sequencing the accuracy of the method was shown to hold at the same level.
我们开发了一种用于移码检测的新方法，该方法结合了从头算算法和基于比对的算法，可作为下一代测序中序列质量控制的有用工具。我们在蛋白质编码区域带有人工移码的注释基因组序列测试集上评估了该方法的准确性。这些测试表明，新方法的性能与早期开发的FrameD相当。在通过454焦磷酸测序产生并经桑格重测序恢复序列错误的序列集上，该方法的准确性显示保持在同一水平。
