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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Bibliografiska uppgifter
Huvudupphovsmän: Widmann, Philipp, Reverter, Antonio, Fortes, Marina R S, Weikard, Rosemarie, Suhre, Karsten, Hammon, Harald, Albrecht, Elke, Kuehn, Christa
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2013
Ämnen:
Research Article
Länkar: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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