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Method and system for determining a zero point for array-based comparative genomic hybridization data

机译:为基于阵列的比较基因组杂交数据确定零点的方法和系统

摘要

Various embodiments of the present invention determine a zero point, or centralization constant ζ, for an array-based comparative genomic hybridization (“aCGH”) data set by identifying a zero-point value, or centralization constant ζ, that, when used in an aberration-calling analysis of the aCGH data, results in the fewest number of array-probe-complementary genomic sequences identified as having abnormal copy numbers with respect to a control genome, or, in other words, results in the greatest number of array-probe-complementary genomic sequences identified as having normal copy numbers. In one embodiment, interval-based analysis of an aCGH data set may be carried out using a range of putative zero-point values, and the zero-point value for which the maximum number of genomic sequences are determined to have normal copy numbers may then be selected.
机译:本发明的各种实施例通过识别零点值或集中常数ζ,当在基于阵列的比较基因组杂交(“ aCGH”)数据集中使用时确定零点或集中常数ζ,该零点值或集中常数ζ被设置为零。对aCGH数据的像差调用分析导致相对于对照基因组被鉴定为具有异常拷贝数的阵列探针互补基因组序列的最少数量,换句话说,导致阵列探针的数量最多-被鉴定为具有正常拷贝数的互补基因组序列。在一个实施例中,可以使用一系列假定的零点值对aCGH数据集进行基于间隔的分析,然后可以确定最大数目的基因组序列具有正常拷贝数的零点值。被选中。

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