intersnp.meb.uni-bonn.de
Further software from IMBIE
http://intersnp.meb.uni-bonn.de/SoftwareFromImbie.html
Further software from the IMBIE. Is a software for single-marker analysis and, in particular, joint analysis of unphased genotype data from tightly linked markers (haplotype analysis). Is a program package with a focus on genetic-epidemiological questions as they typically occur prior to linkage analysis. Is a software for meta-analysis of genome wide association studies. Is a software for meta-analysis of multiple regression models in genome-wide association studies.
pedigreeexplorer.meb.uni-bonn.de
Further Software from IMBIE
http://pedigreeexplorer.meb.uni-bonn.de/softwareFromImbie_pedi.html
Further software from the IMBIE. Is a software for single-marker analysis and, in particular, joint analysis of unphased genotype data from tightly linked markers (haplotype analysis). Is a software for genome-wide interaction analysis (GWIA) of case-control SNP data. SNPs are selected for joint analysis using a priori information. Sources of information to define meaningful strategies can be. Single marker association at a moderate level, computed from the own data) and.
yamas.meb.uni-bonn.de
Further Software from IMBIE
http://yamas.meb.uni-bonn.de/softwareFromImbie_yam.html
Further software from the IMBIE. Is a software for single-marker analysis and, in particular, joint analysis of unphased genotype data from tightly linked markers (haplotype analysis). Is a software for genome-wide interaction analysis (GWIA) of case-control SNP data. SNPs are selected for joint analysis using a priori information. Sources of information to define meaningful strategies can be. Single marker association at a moderate level, computed from the own data) and.
metainter.meb.uni-bonn.de
Further software from IMBIE
http://metainter.meb.uni-bonn.de/SoftwareFromImbie.html
Further software from the IMBIE. Is a software for genome-wide interaction analysis (GWIA) of case-control SNP data and quantitative traits. SNPs are selected for joint analysis using a priori information. Sources of information to define meaningful strategies can be statistical evidence (single marker association at a moderate level, computed from the own data) and genetic/biologic relevance (genomic location, function class or pathway information).