Related Experiment Video
Updated: Aug 17, 2026

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Published on: March 5, 2022
HEGESMA: genome search meta-analysis and heterogeneity testing
Elias Zintzaras1, John P A Ioannidis
1Department of Biomathematics, University of Thessaly School of Medicine, Larissa 41222, Greece. zintza@med.uth.gr
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.
Related Concept Videos
Evolutionary Relationships through Genome Comparisons
Genomic DNA in Eukaryotes
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Genomics