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A systems biology approach using metabolomic data reveals genes and pathways interacting to modulate divergent growth in cattle
BACKGROUND: Systems biology enables the identification of gene networks that modulate complex traits. Comprehensive metabolomic analyses provide innovative phenotypes that are intermediate between the initiator of genetic variability, the genome, and raw phenotypes that are influenced by a large num...
Autores principales: | Widmann, Philipp, Reverter, Antonio, Fortes, Marina R S, Weikard, Rosemarie, Suhre, Karsten, Hammon, Harald, Albrecht, Elke, Kuehn, Christa |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840609/ https://www.ncbi.nlm.nih.gov/pubmed/24246134 http://dx.doi.org/10.1186/1471-2164-14-798 |
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