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首页> 外文期刊>Journal of medical systems >Integrating human genome database into electronic health record with sequence alignment and compression mechanism.
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Integrating human genome database into electronic health record with sequence alignment and compression mechanism.

机译:通过序列比对和压缩机制将人类基因组数据库整合到电子健康记录中。

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摘要

With the initial completion of Human Genome Project, the post-genomic era is coming. Although the genome map of human has been decoded, the roles that each segment of sequences acts are not totally discovered. On the other hand, with the rapid expansion of sequence information, the issues of data compilation and data storage are increasingly important. In this paper, a "Human genome database system" is designed and implemented in National Taiwan University Hospital (NTUH). By accessing this system, the doctors can store and manage the experimental sequence data. The achievement of this system is that it integrates the modules of sequence alignment and data compression. By embedding with the NCBI alignment program-blastall [1], it automatically aligns the uploaded sequences and searches for the corresponding genomic positions. Besides, the system encodes the differences between sequences, effectively compresses them and decreases the demand of storage spaces by the compression ratio at 12.28. At the same time, it offers a variety of query methods. Users can quickly access the interesting data by inputting the keywords of specimen number, GI and sequence position, etc. The electronic health record (EHR) in Health Information System (HIS) of NTUH is also combined in this system and the doctors can utilize the valuable information to figure out the relation between the diseases and genes. With this system, a genetic personal healthcare environment will be established in the future.
机译:随着人类基因组计划的初步完成,后基因组时代即将到来。尽管人类的基因组图谱已被解码,但尚未完全发现序列的每个片段所起的作用。另一方面,随着序列信息的迅速扩展,数据汇编和数据存储的问题变得越来越重要。本文在台湾大学医院(NTUH)设计并实现了“人类基因组数据库系统”。通过访问该系统,医生可以存储和管理实验序列数据。该系统的成就是它集成了序列比对和数据压缩模块。通过嵌入NCBI比对程序blastall [1],它会自动比对上传的序列并搜索相应的基因组位置。此外,系统对序列之间的差异进行编码,有效地压缩它们,并通过12.28的压缩率降低存储空间的需求。同时,它提供了多种查询方法。用户可以通过输入标本编号,GI和序列位置等关键字快速访问有趣的数据。NTUH的健康信息系统(HIS)中的电子健康记录(EHR)也集成在该系统中,医生可以利用有价值的信息,以找出疾病和基因之间的关系。通过该系统,将来将建立遗传的个人医疗环境。

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