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Author(s):
Dharuri, H. ; Henneman, P. ; Demirkan, A. ; Mook-Kanamori, D.O. ; Wang-Sattler, R. ; Gieger, C. ; Adamski, J. ; Hettne, K. ; Roos, M. ; Suhre, K. ; van Duijn, C.M. ; van Dijk, K.W. ; 't Hoen, P.A.
Title:
Automated wokflow-based exploitation of pathway databases provides new insights into genetic associations of metabolite profiles.
Keywords:
Genetics and Epidemiology ; Enabling and Novel Technologies
Journal title:
BMC Genomics
Year:
2013
Journal volume:
14
Fulltext / DOI:
doi:10.1186/1471-2164-14-865
E-ISSN:
1471-2164
Impact Factor:
4,397
Notes:
Research Programmes: Genes and Environment in Common Diseases ; Research Units: Research Unit Molecular Epidemiology (AME)
TUM Institution:
Institute of Experimental Genetics (IEG) ; Institute of Genetic Epidemiology (IGE) ; Institute of Bioinformatics and Systems Biology (IBIS)
CC license:
by, http://creativecommons.org/licenses/by/4.0
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