cgmisc: Enhanced Genome-wide Association Analyses and Visualisation
2015 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 31, no 23, 3830-3831 p.Article in journal (Refereed) Published
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 visualisation 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 visualisation of genomic data and utilises 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: The package is operating system-independent and is available from: https://github.com/cgmisc-team/cgmisc CONTACT: firstname.lastname@example.org.
Place, publisher, year, edition, pages
2015. Vol. 31, no 23, 3830-3831 p.
Bioinformatics and Systems Biology Medical Genetics
IdentifiersURN: urn:nbn:se:uu:diva-259684DOI: 10.1093/bioinformatics/btv426ISI: 000366378400016PubMedID: 6249815OAI: oai:DiVA.org:uu-259684DiVA: diva2:845064
FunderSwedish Foundation for Strategic Research Swedish Research Council FormasSwedish Research CouncilEU, European Research CouncilEU, European Research Council