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GRSR: A Tool for Deriving Genome Rearrangement Scenarios from Multiple Unichromosomal Genome Sequences

机译:GRSR:一种用于从多个单同位素基因组序列中衍生基因组重排感的工具

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Sorting genomic permutations by rearrangement operations is a classic problem in studying genome rearrangements. Many tools or algorithms have been proposed for sorting signed genomic permutations [1, 2]. In fact, given a pair of permutations, there are often more than one optimal rearrangement scenarios, especially when the rearrangement distance between this permutation pair is large. And sometimes, for the same pair of permutations, the computed rearrangement scenarios using different tools are not consistent. Hence, how to know whether the calculated scenarios are solid and biologically meaningful becomes an essential task. Up to now, several mechanisms for genome rearrangements have been reported [3, 4]. Statistics analyzes showed that breakpoints are often associated with repetitive elements [5, 6]. There was evidence showing that a reversal can be mediated by a pair of inverted repeats (IRs) [7, 8]. Hence, whether there exist repeats at the breakpoints of rearrangement events may give us a clue on whether the calculated rearrangement scenarios are biologically meaningful.
机译:通过重新排列操作对基因组置换进行分类是研究基因组重排的经典问题。已经提出了许多工具或算法用于分类符号基因组置换[1,2]。实际上,给定了一对排列,通常存在多于一个最佳的重排感场景,特别是当该排列对之间的重新排列距离很大时。有时,对于相同对的排列,使用不同工具的计算机重新排列方案不一致。因此,如何知道计算出的方案是否是坚实的,并且生物学意义成为必不可少的任务。到目前为止,已经报道了几种基因组重排机制[3,4]。统计分析表明,断点通常与重复元素相关[5,6]。有证据表明,逆转可以被一对倒反转的重复(IRS)[7,8]介导。因此,在重新排列事件的断点处是否存在重复可能会给我们一个有关计算的重排方案是否在生物学上有意义的情况下的线索。

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