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An Algorithm for Identification of Regulatory Signals in Unaligned DNA Sequences, Its Testing and Parallel Implementation

机译:一种用于识别未比对DNA序列中调控信号的算法,其测试和并行实现

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摘要

We describe an algorithm (IRSA) for identification of common regulatory signals in samples of unaligned DNA sequences. The algorithm was tested on randomly generated sequences of fixed length with implanted signal of length 15 with 4 mutations, and on natural upstream regions of bacterial genes regulated by PurR, ArgR and CRP. Then it was applied to upstream regions of orthologous genes from Escherichia coli and related genomes. Some new palindromic binding and direct repeats signals were identified. Finally we present a parallel version suitable for computers supporting the MPI protocol. This implementation is not strictly bounded by the number of available processors. The computation speed linearly depends on the number of processors.
机译:我们描述了一种算法(IRSA),用于识别未对齐DNA序列样本中常见的调控信号。该算法在随机生成的固定长度序列上进行了测试,植入信号长度为 15 且具有 4 个突变,并在 PurR、ArgR 和 CRP 调控的细菌基因的自然上游区域进行了测试。然后将其应用于大肠杆菌和相关基因组的直系同源基因的上游区域。发现了一些新的回文结合和直接重复信号。最后,我们提出了一个适用于支持MPI协议的计算机的并行版本。此实现不受可用处理器数量的严格限制。计算速度线性取决于处理器的数量。

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