The results of large genome-wide association studies (GWASs) are being deposited in public databases with increasing frequency. But the software to analyze and interpret GWAS datasets can be difficult to use. Could a new generation of user-friendly programs fill the gap?
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References
Grupe, A. et al. Hum. Mol. Genet. 16, 865–873 (2008).
Sladek, R. et al. Nature 445, 881–885 (2007).
Hakonarson, H. et al. Nature 448, 591–594 (2007).
Stefansson, H. et al. Nature advance online publication 30 July 2008 (doi:10.1038/nature07229).
Thorgeirsson, T.E. et al. Nature 452, 638–642 (2008).
Hung, R.J. et al. Nature 452, 633–637 (2008).
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Buckingham, S. Scientific software: seeing the SNPs between us. Nat Methods 5, 903–908 (2008). https://doi.org/10.1038/nmeth1008-903
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DOI: https://doi.org/10.1038/nmeth1008-903