Package: CNVassoc
Type: Package
Title: Association Analysis of CNV Data and Imputed SNPs
Version: 2.2
Date: 2016-04-12
Depends: R (>= 2.15.0), CNVassocData, mixdist, mclust, survival
Suggests: CGHcall, CGHregions, CNVtools, xtable, MASS, Biobase, CGHbase
Author: Juan R Gonz�lez, Isaac Subirana
Maintainer: Isaac Subirana <isubirana@imim.es>
Description: Carries out analysis of common
Copy Number Variants (CNVs) and imputed Single Nucleotide
Polymorphisms (SNPs) in population-based studies.
It includes tools for estimating association under a series
of study designs (case-control, cohort, etc), using several
dependent variables (class status, censored data, counts)
as response, adjusting for covariates and considering
various inheritance models. Moreover, it is possible to
perform epistasis studies with pairs of CNVs or imputed SNPs.
It has been optimized in order to make feasible the analyses
of Genome Wide Association studies (GWAs) with hundreds of
thousands of genetic variants (CNVs / imputed SNPs). Also,
it incorporates functions for inferring copy number (CNV
genotype calling). Various classes and methods for generic
functions (print, summary, plot, anova, ...) have been
created to facilitate the analysis.
License: GPL (>= 2)
LazyLoad: yes
URL: http://www.creal.cat/jrgonzalez/software.htm
Encoding: latin1
BuildVignettes: True
NeedsCompilation: yes
Packaged: 2016-04-12 12:31:16 UTC; isubirana
Repository: CRAN
Date/Publication: 2016-04-12 17:01:26

Title: Example data sets for association analysis of CNV data
Description: This package contains example data sets with Copy Number Variants and imputed SNPs to be used by CNVassoc package.
Packaged: 2013-08-16 13:30:30 UTC; isubirana

Title: pre-process DNA copy number (CN) data for detection of CN events
Description: The package evaluates DNA copy number data, using both
their intitial form (copy number as a noisy function of genomic
position) and their approximation by a piecewise-constant
function (segmentation), for the purpose of identifying genomic
regions where the copy number differs from the norm.
Depends: R (>= 2.10), parallel, mclust, rlecuyer