five

Random Repetitive Sequence with Mutations

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arXiv2025-09-30 收录
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https://github.com/yunwilliamyu/gaussian-minimizer-density
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资源简介:
该数据集是为了分析k-mers在最小化器和高斯卷积方面的行为而生成的一个包含突变和随机重复序列的序列。特别关注重复序列的情况。在实验中,我们针对重复长度从1到30的范围进行了扫描,并设定了10%的突变率。实验测量的关键量包括最小化器的平均距离和密度。该数据集的规模为序列长度1007,k-mer大小为8。任务是通过数值模拟验证关于k-mers和最小化器的定理。

This dataset comprises sequences containing mutations and randomly repeated regions, generated to analyze the behavior of k-mers with respect to minimizers and Gaussian convolution. Special focus is placed on scenarios involving repeated sequences. During the experiments, we scanned over the range of repeat lengths from 1 to 30, with a fixed mutation rate of 10%. Key measured quantities in the experiments include the average distance and density of minimizers. The dataset has a sequence length of 1007 and a k-mer size of 8. The task is to verify theorems related to k-mers and minimizers through numerical simulations.
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