大型基因组数据集间遗传相似性检测的高效过滤算法

IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences Pub Date : 2017-10-01 DOI:10.1109/ICCABS.2017.8114318

Viachaslau Tsyvina, David S. Campo, Seth Sims, A. Zelikovsky, Y. Khudyakov, P. Skums

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引用次数: 0

摘要

许多生物分析技术需要测量来自大型基因组数据集的序列之间的相似性，这通常涉及提取所有对接近的DNA或RNA序列。我们提出了一个基于k-mer的工具，可以有效地对下一代测序产生的大型病毒数据集进行序列相似性查询。

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Efficient filtering algorithm for detection of genetic similarity between large genomic datasets

Many biological analysis techniques require measurement of similarity between sequences from large genomic datasets, which often involves extraction of all pairs of close DNA or RNA sequences. We present a k-mer-based tool to efficiently perform such sequence similarity queries for large viral datasets produced by next-generation sequencing.

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IEEE ... International Conference on Computational Advances in Bio and Medical Sciences : [proceedings]. IEEE International Conference on Computational Advances in Bio and Medical Sciences

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