Cargando…
Prediction of phenotype and gene expression for combinations of mutations
Molecular interactions provide paths for information flows. Genetic interactions reveal active information flows and reflect their functional consequences. We integrated these complementary data types to model the transcription network controlling cell differentiation in yeast. Genetic interactions...
Autores principales: | Carter, Gregory W, Prinz, Susanne, Neou, Christine, Shelby, J Patrick, Marzolf, Bruz, Thorsson, Vesteinn, Galitski, Timothy |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1847951/ https://www.ncbi.nlm.nih.gov/pubmed/17389876 http://dx.doi.org/10.1038/msb4100137 |
Ejemplares similares
-
SBEAMS-Microarray: database software supporting genomic expression analyses for systems biology
por: Marzolf, Bruz, et al.
Publicado: (2006) -
Derivation of genetic interaction networks from quantitative phenotype data
por: Drees, Becky L, et al.
Publicado: (2005) -
Tools enabling the elucidation of molecular pathways active in human disease: Application to Hepatitis C virus infection
por: Reiss, David J, et al.
Publicado: (2005) -
SLIMarray: Lightweight software for microarray facility management
por: Marzolf, Bruz, et al.
Publicado: (2006) -
The Innate Immune Database (IIDB)
por: Korb, Martin, et al.
Publicado: (2008)