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Comparing Bowtie and BWA to Align Short Reads from a RNA-Seq Experiment

机译:比较Bowtie和BWA从RNA-SEQ实验中对齐短读

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High-throughput sequencing technologies are a significant innovation that can contribute to important advances in genetic research. In recent years, many algorithms have been developed to align the large number of short nucleotide sequences generated by these technologies. Choosing within the available alignment algorithms is difficu to assist this decision we evaluate several algorithms for the mapping of RNA-Seq data. The comparison was completed in two phases. An initial phase narrowed down the comparison to the three algorithms implemented in the tools: ELAND, Bowtie and BWA. A second phase compared the tools in terms of runtime, alignment coverage and process control.
机译:高通量测序技术是一项重要创新,可以有助于遗传研究的重要进展。近年来,已经开发了许多算法以对准这些技术产生的大量短核苷酸序列。选择在可用的对齐算法中很难;为协助这一决定,我们评估用于映射RNA-SEQ数据的若干算法。比较分为两个阶段。初始阶段缩小了与工具中实现的三种算法的比较:Eland,Bowtie和BWA。第二阶段在运行时,对齐覆盖范围和过程控制方面比较了工具。

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