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dc.creatorZintzaras, E.en
dc.creatorIoannidis, J. P. A.en
dc.date.accessioned2015-11-23T10:55:11Z
dc.date.available2015-11-23T10:55:11Z
dc.date.issued2005
dc.identifier10.1093/bioinformatics/bti536
dc.identifier.issn1367-4803
dc.identifier.urihttp://hdl.handle.net/11615/34950
dc.description.abstractHeterogeneity 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.en
dc.sourceBioinformaticsen
dc.source.uri<Go to ISI>://WOS:000231694600015
dc.subjectLINKAGEen
dc.subjectBiochemical Research Methodsen
dc.subjectBiotechnology & Applied Microbiologyen
dc.subjectComputer Science, Interdisciplinary Applicationsen
dc.subjectMathematical &en
dc.subjectComputational Biologyen
dc.subjectStatistics & Probabilityen
dc.titleHEGESMA: genome search meta-analysis and heterogeneity testingen
dc.typejournalArticleen


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