Computer-based genealogy reconstruction in founder populations
Journal of Biomedical Informatics
Comparison of methods for meta-dimensional data analysis using in silico and biological data sets
EvoBIO'12 Proceedings of the 10th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Multicore and cloud-based solutions for genomic variant analysis
Euro-Par'12 Proceedings of the 18th international conference on Parallel processing workshops
Algorithms for large-scale whole genome association analysis
Proceedings of the 20th European MPI Users' Group Meeting
Application-tailored linear algebra algorithms: A search-based approach
International Journal of High Performance Computing Applications
| Hi-index | 3.84 |
Here we describe an R library for genome-wide association (GWA) analysis. It implements effective storage and handling of GWA data, fast procedures for genetic data quality control, testing of association of single nucleotide polymorphisms with binary or quantitative traits, visualization of results and also provides easy interfaces to standard statistical and graphical procedures implemented in base R and special R libraries for genetic analysis. We evaluated GenABEL using one simulated and two real data sets. We conclude that GenABEL enables the analysis of GWA data on desktop computers. Availability: http://cran.r-project.org Contact: i.aoultchenko@erasmusmc.nl