HEGESMA 2.0

:: DESCRIPTION

HEGESMA (HEterogeneity and GEnome Search Meta Analysis)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.

::DEVELOPER

Department of Biomathematics. School of Medicine. University of Thessaly.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Windows

:: DOWNLOAD

HEGESMA

:: MORE INFORMATION

Citation

Elias Zintzaras1, and John P. A. Ioannidis
HEGESMA: genome search meta-analysis and heterogeneity testing
Bioinformatics,21 (18): 3672-3673.

GSMA 1.1

:: DESCRIPTION

GSMA (Genome Scan Meta-Analysis) is a rank-based method to perform meta-analysis of genome-wide linkage studies. The genome is divided into equal length bins (eg 30cM). For each study, the maximum evidence for linkage within each bin is assessed, and then the bins ranked according to this information for linkage. For each bin, the ranks across studies are summed, and this summed rank forms the statistic to test for evidence of linkage within the bin. Significance is assessed using a distribution function (Wise et al, 1999), or by simulation (Levinson et al, 2003).

::DEVELOPER

:: SCREENSHOTS

N/A

::REQUIREMENTS

Windows/Linux/MacOsX

:: DOWNLOAD

:: MORE INFORMATION

Citation

Tag: Genome Search

HEGESMA 2.0 – Genome Search Meta-analysis ang Heterogeneity testing

HEGESMA 2.0

GSMA 1.1 – Implementation of the Genome Search Meta-analysis Method

GSMA 1.1