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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Detalles Bibliográficos
Autores principales: Widmann, Philipp, Reverter, Antonio, Fortes, Marina R S, Weikard, Rosemarie, Suhre, Karsten, Hammon, Harald, Albrecht, Elke, Kuehn, Christa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
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

Internet

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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