General Information
| Description | Enhanced genome-wide association analyses and visualization |
| Homepage | https://github.com/cgmisc-team/cgmisc |
Publications
cgmisc: enhanced genome-wide association analyses and visualization
Summary:
High-throughput genotyping and sequencing technologies facilitate studies of complex genetic traits and provide new research opportunities. The increasing popularity of genome-wide association studies (GWAS) leads to the discovery of new associated loci and a better understanding of the genetic architecture underlying not only diseases, but also other monogenic and complex phenotypes. Several softwares are available for performing GWAS analyses, R environment being one of them.
Results:
We present cgmisc, an R package that enables enhanced data analysis and visualization of results from GWAS. The package contains several utilities and modules that complement and enhance the functionality of the existing software. It also provides several tools for advanced visualization of genomic data and utilizes the power of the R language to aid in preparation of publication-quality figures. Some of the package functions are specific for the domestic dog (Canis familiaris) data.
Availability and implementation:
The package is operating system-independent and is available from: https://github.com/cgmisc-team/cgmisc
Contact:
marcin.kierczak@imbim.uu.se
Supplementary information:
Supplementary data are available at Bioinformatics online.
Related Tools
Genome-wide association studies pipeline (GWASpi)
Published May 2011
A desktop application for genome-wide SNP analysis and management
dmGWAS
Published November 2010
Dense module searching for genome-wide association studies in protein–protein interaction networks
GRASP
Published June 2014
Analysis of genotype–phenotype results from 1390 genome-wide association studies and corresponding open access database
PANOGA
Published January 2014
A web server for identification of SNP-targeted pathways from genome-wide association study data
Assocplots
Published October 2016
A Python package for static and interactive visualization of multiple-group GWAS results
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.
