Pattern matching in indeterminate and Arc-annotated sequences.

Md Tanvir Islam Aumi, Tanaeem M Moosa, M Sohel Rahman
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Abstract

In this paper, we present efficient algorithms for finding indeterminate Arc-Annotated patterns in indeterminate Arc-Annotated references. Our algorithms run in O(m+ (nm) w) time where n and m are respectively the length of our reference and pattern strings and w is the target machine word size. Here we have assumed the alphabet size to be constant, because, indeterminate Arc-Annotated sequences are used to model biological sequences. Clearly, for short patterns, our algorithms run in linear time and efficient algorithms for matching short patterns to reference genomes have huge applications in practical settings. We have also applied our algorithms to scan the ncRNAs without pseudoknots. We scanned three whole human chromosomes and it took only 2.5 - 4 minutes to scan one whole chromosome for an ncRNA family. Some relevant patents are discussed in.

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不确定和arc注释序列中的模式匹配。
在本文中,我们提出了在不确定的Arc-Annotated引用中寻找不确定的Arc-Annotated模式的有效算法。我们的算法在O(m+ (nm) w)时间内运行,其中n和m分别是我们的引用字符串和模式字符串的长度,w是目标机器字长。这里我们假设字母表的大小是恒定的,因为不确定的Arc-Annotated序列被用来模拟生物序列。显然,对于短模式,我们的算法在线性时间内运行,并且将短模式与参考基因组匹配的有效算法在实际环境中具有巨大的应用价值。我们也应用我们的算法来扫描没有假结的ncrna。我们扫描了三个完整的人类染色体,扫描一个ncRNA家族的整个染色体仅需2.5 - 4分钟。其中讨论了一些相关专利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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