Cargando…
Cattle infection response network and its functional modules
BACKGROUND: Weighted Gene Co-expression Network analysis, a powerful technique used to extract co-expressed gene pattern from mRNA expression data, was constructed to infer common immune strategies used by cattle in response to five different bacterial species (Escherichia coli, Mycobacterium avium,...
Autores principales: | Beiki, Hamid, Pakdel, Abbas, Javaremi, Ardeshir Nejati, Masoudi-Nejad, Ali, Reecy, James M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5755453/ https://www.ncbi.nlm.nih.gov/pubmed/29301495 http://dx.doi.org/10.1186/s12865-017-0238-4 |
Ejemplares similares
-
Large-scale gene co-expression network as a source of functional annotation for cattle genes
por: Beiki, Hamid, et al.
Publicado: (2016) -
Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle
por: Naserkheil, Masoumeh, et al.
Publicado: (2016) -
Genome-wide association studies for methane emission and ruminal volatile fatty acids using Holstein cattle sequence data
por: Jalil Sarghale, Ali, et al.
Publicado: (2020) -
Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle
por: Sharifi, Somayeh, et al.
Publicado: (2018) -
Systems Biology–Derived Genetic Signatures of Mastitis in Dairy Cattle: A New Avenue for Drug Repurposing
por: Sharifi, Somayeh, et al.
Publicado: (2021)