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Multiple Sequence Alignment Based Upon Statistical Approach of Curve Fitting

机译:基于曲线拟合统计方法的多序列比对

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The main objective of our work is to align multiple sequences together on the basis of statistical approach in lieu of heuristics approach. Here we are proposing a novel idea for aligning multiple sequences in which we will be considering the DNA sequences as lines not as strings where each character represents a point in the line. DNA sequences are aligned in such a. way that maximum overlap can occur between them, so that we get maximum matching of characters which will be treated as our seeds of the alignment. The proposed algorithm will first find the seeds in the aligning sequences and then it will grow the alignment on the basis of statistical approach of curve fitting using standard deviation.
机译:我们工作的主要目标是根据统计方法代替启发式方法将多个序列对齐在一起。在这里,我们提出了一种比对多个序列的新思路,在该思路中,我们将把DNA序列视为线条而不是字符串,其中每个字符代表线条中的一个点。 DNA序列以这种方式比对。这样,它们之间就会出现最大的重叠,从而使字符得到最大的匹配,这将被视为对齐的种子。所提出的算法将首先在比对序列中找到种子,然后将基于使用标准偏差的曲线拟合的统计方法来增加比对。

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