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System and Method for Detecting Population Variation from Nucleic Acid Sequencing Data

机译:从核酸测序数据检测群体变异的系统和方法

摘要

The present invention relates to a method of identifying genetic variants within a population of sequences. The method includes the steps of aligning a set of sequence data reads to reference sequences, dividing reference sequences into multiple tracks of overlapping regions of analysis (ROAs), partitioning each read into a ROA, identifying a plurality of sequence patterns in the reads, setting a sequence pattern frequency threshold value, eliminating any sequence pattern that has a value below the frequency threshold value forming a plurality of dictionaries from the sequence patterns having a value above the frequency threshold value, and cross-validating sequence patterns via partial sequence assembly. The method may optionally include amending the reference sequences used in iterative re-alignment of sequence data.
机译:本发明涉及在序列群体中鉴定遗传变异的方法。该方法包括以下步骤:将一组序列数据读数与参考序列进行比对;将参考序列划分为重叠的分析区域(ROA)的多个磁道;将每个读数划分为ROA;在读数中识别多个序列模式;设置序列模式频率阈值,从具有高于频率阈值的值的序列模式中消除具有小于频率阈值的值的任何序列模式以形成多个字典,并通过部分序列组装对序列模式进行交叉验证。该方法可以可选地包括修改在序列数据的迭代重新比对中使用的参考序列。

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