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Umap: Use Unique Sequence for Alignment of Short Sequence Reads and SNP Detection

机译:Umap:将唯一序列用于短序列读取和SNP检测的比对

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Many high-throughput DNA sequencing methods provide very short reads, typically of a few tens of base pairs. New algorithms and softwares are needed to analysis those short reads effectively. There are some software tools for aligning short reads to a reference genome. Here we introduce a new method, Umap, to align theses short reads faster and more exact. Applying Umap to simulated very short reads generated by slicing human genome chromosome 22 into reads of length 20~100, one can identify 95% of the simulated reads' relative position. When applying to real Illumine Sequence Analyzer data sets without read pairs, Umap identify 85% of the whole reads' relative position to a Streptococcus suis genome. Umap presents a new approach to alignment short reads to reference genome quickly.
机译:许多高通量DNA测序方法提供的读数非常短,通常只有几十个碱基对。需要新的算法和软件来有效分析这些短读。有一些软件工具可将短读序列与参考基因组比对。在这里,我们介绍了一种新的方法Umap,可以更快更准确地对齐这些短读。将Umap应用于通过将人类基因组22号染色体切成20〜100个长度的阅读片段而产生的非常短的模拟读物,可以识别出95%的模拟读物的相对位置。当应用不带读对的真实Illumine Sequence Analyzer数据集时,Umap可识别出整个读物相对于猪链球菌基因组的相对位置的85%。 Umap提出了一种新的方法,可以快速将短读序列比对参考基因组。

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