GWAMA: software for genome-wide association meta-analysis
<p style="text-align:justify;"> <b>Background:</b> Despite the recent success of genome-wide association studies in identifying novel loci contributing effects to complex human traits, such as type 2 diabetes and obesity, much of the genetic component of variation in the...
主要な著者: | Mägi, R, Morris, A |
---|---|
フォーマット: | Journal article |
言語: | English |
出版事項: |
BioMed Central
2010
|
類似資料
-
GWAMA: software for genome-wide association meta-analysis
著者:: Mägi Reedik, 等
出版事項: (2010-05-01) -
GWAMA: Software Tool for Meta-analysis and Visualization of Whole Genome Association Data
著者:: Magi, R, 等
出版事項: (2009) -
GWAMA: software tool for meta analysis of whole genome association data
著者:: Maegi, R, 等
出版事項: (2009) -
Notes on Gwama grammar
著者:: Dirk Kievit, 等
出版事項: (2012-06-01) -
Notes on Gwama grammar
著者:: Dirk Kievit, 等
出版事項: (2012-06-01)