DNA分析中的数据处理

Tianli Guo, Tao Zhang, Chuan Jin
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引用次数: 0

摘要

自1980年以来,DNA技术取得了显著的进步。其中以毛细管电泳为基础的桑格生化检测多色荧光DNA测序法应用最为广泛。该方法采用荧光成像技术进行碱基识别,识别结果在法医DNA鉴定、个体鉴定、遗传鉴定、灾害鉴定等领域发挥重要作用。对荧光标记DNA测序结果片段进行分析是法医DNA数据分析的关键技术之一。片段分析包括峰值识别算法设计、DNA片段间隔确定算法设计、等位基因阶梯分型算法设计和DNA样本STR分型算法设计。本文通过以上四个步骤的数据处理,对DNA片段进行分析,有利于丰富DNA实验室信息管理信息系统,为DNA检测技术平台的本地化和集成奠定基础。
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Data Processing in DNA Profiling
DNA technology has made remarkable progress since 1980. Among them, capillary electrophoresis based on Sanger biochemical detection of polychromatic fluorescent DNA sequencing method is widely used. This method uses fluorescence imaging technology for base recognition, and the recognition results play an important role in forensic DNA identification, individual identification, genetic identification, disaster identification and other fields. It is one of the key technologies for forensic DNA data analysis to analyze the fragments of fluorescent labeled DNA sequencing results. Fragment analysis includes peak recognition algorithm design, determination of DNA fragment interval algorithm design, allelic ladder typing algorithm design and DNA sample STR typing algorithm design. In this paper, through the above four steps of data processing, the analysis of DNA fragments is conducive to enrich the DNA laboratory information management information system, and lay the foundation for the localization and integration of DNA detection technology platform.
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