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.Follow us on [ Twitter ] [ Facebook ] READ MORE
The OmicABEL (pronounced as "amicable") package allows rapid mixed-model based genome-wide association analysis, especially for multiple traits ("omics" data).
The GenABEL suite, while originally designed for the analysis of human genomic data, is also widely used for analysis of animal and plant data.
DatABEL package 0.9-4 is released on CRAN.
Yesterday, the GenABEL package 1.7-4 was released on CRAN. The release fixes an important bug concerning the GRAMMAR-Gamma
Recently, Nicola Pirastu has kindly agreed to act as a moderator at the GenABEL forum.
With the new year comes good news: ProbABEL v0.3.0 has been released today.
This release marks the end of a lot of work done on the internals of ProbABEL, which was started earlier this year by Maarten Kooyman. The most important thing a user will notice is an approximately four-fold speed increase when running palinear with the --mmscore option as well as possible speed increases in other use cases as well.
In his e-mail to the development mailing list of 2012-12-21 Maarten explains his work in more detail, including a few graphs of the speed gains.
We are happy to announce a new release of ProbABEL: version 0.2.2 is out!
This version is an incremental update of v0.2.0, featuring several bug fixes and some new functionality in the probabel.pl script.
We have started a series of the GenABEL project video tutorials
GenABEL package, v. 1.7-2, is on now CRAN now and can be installed using command 'install.packages("GenABEL")'.
On Sunday, Sept. 16, 2012, Nature Genetics published the paper "Rapid variance components–based method for whole-genome association analysis" by Svisheva, Belonogova, Axenovich, van Duijn and Aulchenko.