Title: Parallel Computing Toolset for Genome-Wide Association Studies
Description: A High-performance computing toolset for relatedness and
principal component analysis of SNP data

Description: A High-performance computing toolset for relatedness and principal component analysis of SNP data

Description: A high-performance computing toolset for relatedness and

Suggests: parallel, snow, lattice, RUnit

Title: Investigating the Functional Characteristics of Selected SNPs
person(given = "Zoha", family = "Kamali", role = "aut"),
person(given = "Ahmad", family = "Vaez", role = "aut"))
Imports: data.table, httr, jsonlite, xml2, openxlsx, progress,
doParallel, foreach, ggplot2, kableExtra, methods, rmarkdown
Description: To investigate the functional characteristics of selected SNPs and their vicinity genomic region. Linked SNPs in moderate to high linkage disequilibrium (e.g. r2>0.50) with the corresponding index SNPs will be selected for further analysis.

Package: SNPassoc
Version: 1.0-2
Date: 2006-Sep-21
Depends: R (>= 2.3.1), haplo.stats, survival
Title: SNPs-based whole genome association studies
Author: Juan R Gonz�lez, Llu�s Armengol, Elisabet Guin�, Xavier Sol�, and V�ctor Moreno
Maintainer: Juan R Gonz�lez <juanramon.gonzalez@crg.es>
Description: This package carries out most common analysis when performing whole genome association studies. These analyses include descriptive statistics and exploratory analysis of missing values, calculation of Hardy-Weinberg equilibrium, analysis of association based on generalized linear models (either for quantitative or binary traits), and analysis of multiple SNPs (haplotype and epistasis analysis)
License: GPL version 2 or newer
URL: http://www.r-project.org
Encoding: latin1
Packaged: Fri Sep 29 15:07:19 2006; jrgonzalez

Package: SNPassoc
Version: 1.1-0
Date: 2006-Nov-9
Depends: R (>= 2.3.1), haplo.stats, survival
Title: SNPs-based whole genome association studies
Author: Juan R Gonz�lez, Llu�s Armengol, Elisabet Guin�, Xavier Sol�, and V�ctor Moreno
Maintainer: Juan R Gonz�lez <juanramon.gonzalez@crg.es>
Description: This package carries out most common analysis when performing whole genome association studies. These analyses include descriptive statistics and exploratory analysis of missing values, calculation of Hardy-Weinberg equilibrium, analysis of association based on generalized linear models (either for quantitative or binary traits), and analysis of multiple SNPs (haplotype and epistasis analysis)
License: GPL version 2 or newer
URL: http://www.r-project.org
Encoding: latin1
Packaged: Fri Nov 10 12:44:37 2006; jrgonzalez