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HEGESMA:基因组搜索荟萃分析与异质性检验。

HEGESMA: genome search meta-analysis and heterogeneity testing.

作者信息

Zintzaras Elias, Ioannidis John P A

机构信息

Department of Biomathematics, University of Thessaly School of Medicine, Larissa 41222, Greece.

出版信息

Bioinformatics. 2005 Sep 15;21(18):3672-3. doi: 10.1093/bioinformatics/bti536. Epub 2005 Jun 14.

DOI:10.1093/bioinformatics/bti536
PMID:15955784
Abstract

SUMMARY

Heterogeneity and genome search meta-analysis (HEGESMA) is a comprehensive software for performing genome scan meta-analysis, a quantitative method to identify genetic regions (bins) with consistently increased linkage score across multiple genome scans, and for testing the heterogeneity of the results of each bin across scans. The program provides as an output the average of ranks and three heterogeneity statistics, as well as corresponding significance levels. Statistical inferences are based on Monte Carlo permutation tests. The program allows both unweighted and weighted analysis, with the weights for each study as specified by the user. Furthermore, the program performs heterogeneity analyses restricted to the bins with similar average ranks.

AVAILABILITY

http://biomath.med.uth.gr.

摘要

摘要

异质性与基因组搜索荟萃分析(HEGESMA)是一款用于进行基因组扫描荟萃分析的综合软件,基因组扫描荟萃分析是一种定量方法,用于识别在多次基因组扫描中连锁分数持续增加的遗传区域(区间),并用于检验各区间扫描结果的异质性。该程序输出秩的平均值、三个异质性统计量以及相应的显著性水平。统计推断基于蒙特卡罗置换检验。该程序允许进行未加权和加权分析,权重由用户指定用于每项研究。此外,该程序对平均秩相似的区间进行异质性分析。

可用性

http://biomath.med.uth.gr 。

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