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A Novel High Accuracy Algorithm for Reference Assembly in Colour Space

机译:色彩空间中参考装配的一种新型高精度算法

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Although numerous algorithms exist for genome alignment using Next Generation Sequencing tags, assembly of colour coded reads remains a challenge. We present a novel pairwise sequence aligner algorithm derived from Smith-Waterman method. Original feature of the algorithm is that it translates the reference sequence into colour code and performs the alignment in colour space. While operating on this base it can prevent most read error-derived assembly errors. Based on dynamic programming it gives the optimal alignment in colour space. Further, validation on empirical dataset with capillary sequencing proved high mapping accuracy. The algorithm can be implemented into any reference assembly software thereby improving mapping accuracy while maintaining high speed mapping.
机译:尽管存在使用下一代测序标签进行基因组比对的多种算法,但是彩色编码读段的组装仍然是一个挑战。我们提出了一种新的成对序列比对算法,该算法源自Smith-Waterman方法。该算法的原始功能是将参考序列转换为颜色代码,并在颜色空间中执行对齐。在此基础上进行操作时,可以防止大多数读取错误导致的组装错误。基于动态编程,它可以在色彩空间中提供最佳的对齐方式。此外,使用毛细管测序对经验数据集进行验证证明了较高的定位精度。该算法可以在任何参考装配软件中实现,从而在保持高速映射的同时提高了映射精度。

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