The mission of the GenABEL project is to provide a free framework for collaborative, robust, transparent, open-source based development of statistical genomics methodology. We aim to streamline methodology discussion, development, implementation, dissemination and maintenance; through the community.
Keywords for this software
References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Keith, Jonathan M. (ed.): Bioinformatics. Volume II: structure, function, and applications (2017)
- Fabregat-Traver, Diego; Aulchenko, Yurii S.; Bientinesi, Paolo: Solving sequences of generalized least-squares problems on multi-threaded architectures (2014)
- Fabregat-Traver, Diego; Bientinesi, Paolo: Computing petaflops over terabytes of data: the case of genome-wide association studies (2014)
- Pirinen, Matti; Donnelly, Peter; Spencer, Chris C.A.: Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies (2013)