netgwas
Network-Based Genome Wide Association Studies
A multi-core R package that contains a set of tools based on copula graphical models for accomplishing the three interrelated goals in genetics and genomics in an unified way: (1) linkage map construction, (2) constructing linkage disequilibrium networks, and (3) exploring high-dimensional genotype-phenotype network and genotype-phenotype-environment interactions networks. The 'netgwas' package can deal with biparental inbreeding and outbreeding species with any ploidy level, namely diploid (2 sets of chromosomes), triploid (3 sets of chromosomes), tetraploid (4 sets of chromosomes) and so on. We target on high-dimensional data where number of variables p is considerably larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output. The 'netgwas' implements the methodological developments in Behrouzi and Wit (2017) doi:10.1111/rssc.12287 and Behrouzi and Wit (2017) doi:10.1093/bioinformatics/bty777.
- Version1.14.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- netgwas citation info
- Last release03/19/2024
Team
Pariya Behrouzi
Ernst C. Wit
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports7 packages
- Suggests1 package
- Reverse Imports1 package