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首页> 外文期刊>International journal of immunogenetics >16(th) IHIW: immunogenomic data-management methods. report from the immunogenomic data analysis working group (IDAWG).
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16(th) IHIW: immunogenomic data-management methods. report from the immunogenomic data analysis working group (IDAWG).

机译：IHIW 16（th）：免疫基因组数据管理方法。免疫基因组数据分析工作组（IDAWG）的报告。

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SUMMARY: The goal of the immunogenomic data analysis working group (IDAWG) is to facilitate the consistent analysis of HLA and KIR data, and the sharing of those data among the immunogenomic and larger genomic communities. However, the data management approaches currently applied by immunogenomic researchers are not widely discussed or reported in the literature, and the effect of different approaches on data analyses is not known. With ASHI's support, the IDAWG developed a 45 question survey on HLA and KIR data generation, data management and data analysis practices. Survey questions detailed the loci genotyped, typing systems used, nomenclature versions reported, computer operating systems and software used to manage and transmit data, the approaches applied to resolve HLA ambiguity and the methods used for basic population-level analyses. Respondents were invited to demonstrate their HLA ambiguity resolution approaches in simulated data sets. By May 2012, 156 respondents from 35 nations had completed the survey. These survey respondents represent a broad sampling of the Immunogenomic community; 52% were European, 30% North American, 10% Asian, 4% South American and 4% from the Pacific. The project will continue in conjunction with the 17th Workshop, with the aim of developing community data sharing standards, ambiguity resolution documentation formats, single-task data Management tools and novel data analysis methods and applications. While additional project details and plans for the 17th IHIW will be forthcoming, we welcome the input and participation in these projects from the histocompatibility and immunogenetics community.
机译：简介：免疫基因组数据分析工作组（IDAWG）的目标是促进HLA和KIR数据的一致性分析，以及在免疫基因组和更大的基因组社区之间共享这些数据。然而，免疫基因组研究人员当前使用的数据管理方法在文献中并未得到广泛讨论或报道，并且不同方法对数据分析的影响尚不清楚。在ASHI的支持下，IDAWG对HLA和KIR数据生成，数据管理和数据分析实践进行了45个问题的调查。调查问题详细介绍了基因座的基因型，使用的打字系统，报告的术语版本，用于管理和传输数据的计算机操作系统和软件，用于解决HLA模糊性的方法以及用于基本人群水平分析的方法。邀请受访者在模拟数据集中展示其HLA模糊度解决方法。截至2012年5月，来自35个国家的156位受访者完成了调查。这些调查对象代表了免疫基因组学界的广泛样本。欧洲占52％，北美占30％，亚洲占10％，南美占4％，太平洋地区占4％。该项目将与第17届研讨会一起继续进行，目的是开发社区数据共享标准，歧义解决文档格式，单任务数据管理工具以及新颖的数据分析方法和应用程序。尽管第17届IHIW的更多项目细节和计划即将出台，但我们欢迎组织相容性和免疫遗传学界为这些项目提供投入和参与。

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