fGWAS: Functional GWAS software (Version 2.0)
The fGWAS software aims at building a general platform to analyse SNP data with longitudinal trails. This platform provides multiple statistical models and uniform interface to the end-users. We develop this software in C/C++ to gain fast speed and more compatibility with main computing platform. The details will be described in the section 5 and in the introduction document.
So far the fGWAS software implements four statistical models, MLREG, DYNMODEL, BLASSO and GLASSO model.
They have same statistical models as R/fGWAS2. Please visit R/fGWAS2 to get the details.
Here we refer to the following publications for the theoretical foundation of this software. If you appreciate this software then please cite the following papers in your work.
: Jiangtao Luo, Arthur Berg, Kwangi Ahn, Kiranmoy Das, Jiahan Li, Zhong Wang, Yao Li, Rongling Wu. Functional genome-wide association studies of longitudinal traits. In: Handbook of Adaptive Designs in Pharmaceutical and Clinical Development 2010, edited by S. C. Chow. Wiley, London, UK.
: Kiranmoy Das, Jiahan Li, Zhong Wang, Chunfa Tong, Guifang Fu, Yao Li, Meng Xu, Kwangmi Ahn, David Mauger and Runze Li, et al. A dynamic model for genome-wide association studies . Human Genetics(2011) doi: 10.1007/s00439-011-0960-6
: Jiahan Li, Kiranmoy Das, Guifang fu, Runze Li and Rongling Wu. The Bayesian Lasso for Genome-wide Associations Studies. Bioinformatics (2011) 27 (4): 516-523. doi: 10.1093/bioinformatics/btq688
: Jiahan Li, Runze Li, and Rongling Wu. Bayesian Group LASSO for Varying-Coefficient Models With Application to Functional Genome-Wide Association Studies.
03/03/2011: Version 1.0 is released.
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