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Reference alignment of SNP microarray signals for copy number analysis of tumors

机译:SNP微阵列信号的参考比对,用于肿瘤的拷贝数分析

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摘要

A new procedure to align single nucleotide polymorphism (SNP) microarray signals for copy number analysis is proposed. For each individual array, this reference alignment procedure (RAP) uses a set of selected markers as internal references to direct the signal alignment. RAP aligns the signals so that each array has a similar signal distribution among its reference markers. An accompanying reference selection algorithm (RSA) uses genotype calls and initial signal intensities to choose two-copy markers as the internal references for each array. After RSA and RAP are applied, each array has a similar distribution of signals of two-copy markers so that across-array signal comparisons are biologically meaningful. An upper bound for a statistical metric of signal misalignment is derived and provides a theoretical basis to choose RSA-RAP over other alignment procedures for copy number analysis of cancers. In our study of acute lymphoblastic leukemia, RSA-RAP gives copy number analysis results that show substantially better concordance with cytogenetics than do two other alignment procedures.
机译:提出了一种新的比对单核苷酸多态性(SNP)基因芯片信号进行拷贝数分析的程序。对于每个单独的阵列,此参考对齐过程(RAP)使用一组选定的标记作为内部参考来指导信号对齐。 RAP对齐信号,以便每个阵列在其参考标记之间具有相似的信号分布。随附的参考选择算法(RSA)使用基因型调用和初始信号强度来选择两拷贝标记作为每个阵列的内部参考。应用RSA和RAP后,每个阵列的两拷贝标记信号分布相似,因此跨阵列信号比较具有生物学意义。得出信号未对准的统计量度的上限,并为选择RSA-RAP而不是其他比对程序进行癌症拷贝数分析提供了理论基础。在我们对急性淋巴细胞白血病的研究中,RSA-RAP提供的拷贝数分析结果显示,与细胞遗传学的一致性要比其他两种比对程序好得多。

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