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METAINTER - Meta-analysis for genome-wide interaction analysis softwareINTERSNP is a software for genome-wide interaction analysis (GWIA) of case-control SNP data and quantitative traits.
http://metainter.meb.uni-bonn.de/
INTERSNP is a software for genome-wide interaction analysis (GWIA) of case-control SNP data and quantitative traits.
http://metainter.meb.uni-bonn.de/
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METAINTER - Meta-analysis for genome-wide interaction analysis software | metainter.meb.uni-bonn.de Reviews
https://metainter.meb.uni-bonn.de
INTERSNP is a software for genome-wide interaction analysis (GWIA) of case-control SNP data and quantitative traits.
metainter.meb.uni-bonn.de
METAINTER - Manual
http://metainter.meb.uni-bonn.de/METAINTER_Manual.html
Meta-analysis tool for multiple regression models in. Genome-wide association studies allowing for interaction. German Center for Neurodegenerative Diseases (DZNE), Bonn. Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn. May 5, 2014. 21 Fisher’s method. 22 Stouffer’s method with weights. 23 Stouffer’s method with weights and effect directions. 24 Method of synthesis of regression slopes. 25 Meta-analysis methods: summary table. 31 Within study parameter coding. It is assum...
Imprint
http://metainter.meb.uni-bonn.de/Imprint.html
Responsible editor of this website according to 6 MDStV is:. Tatsiana Vaitsiakhovich, Dr. Institute for Medical Biometry, Informatics and Epidemiology. Email: vait(at)imbie.meb.uni-bonn.de. Http:/ metainter.meb.uni-bonn.de.
Usage
http://metainter.meb.uni-bonn.de/Usage.html
METAINTER is written in C/C and can be operated from the command line. O metainter -lm -O3. Some examples with configuration files.
Disclaimer
http://metainter.meb.uni-bonn.de/Disclaimer.html
2 Referrals and links. 5 Legal validity of this disclaimer. This disclaimer is to be regarded as part of the internet publication which you were referred from. If sections or individual terms of this statement are not legal or correct, the content or validity of the other parts remain uninfluenced by this fact. The present disclaimer based on the free service of http:/ www.disclaimer.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).
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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.
INTERSNP - Genome-wide Interaction Analysis Software
http://intersnp.meb.uni-bonn.de/index.html
INTERSNP 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. Single marker association at a moderate level, computed from the own data) and. Genomic location, function class or pathway information). To subscribe to our newsletter, write us an email. New Version: v1.15 (22 January 2015). Methods for stratified analysis.
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.
Further Software from IMBIE
http://famhap.meb.uni-bonn.de/softwareFromImbie_fam.html
Further software from the IMBIE. 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. Genomic location, function class or pathway information). Is a program package with a focus on genetic-epidemiological questions as they typically occur prior to linkage analysis.
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METAINTER - Meta-analysis for genome-wide interaction analysis software
HJ Cordell, D.G. Clayton, 2002. Analysis results of the individual studies have to be provided in tabulated format. METAINTER supports the output format of the genetic interaction analysis software INTERSNP. As well as any freely defined format. The main meta-analysis method implemented in METAINTER is. Method of synthesis of regression slopes (MSRS). Since the covariance matrix of model parameters is not always available, METAINTER provides three further. Stouffer's method with weights.
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