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...

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Detalhes bibliográficos
Main Authors: Widmann, Philipp, Reverter, Antonio, Fortes, Marina R S, Weikard, Rosemarie, Suhre, Karsten, Hammon, Harald, Albrecht, Elke, Kuehn, Christa
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2013
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Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3840609/
https://ncbi.nlm.nih.gov/pubmed/24246134
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-14-798
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