Warning: Undefined variable $zfal in C:\Inetpub\vhosts\kidney.de\httpdocs\mlpefetch.php on line 525
Deprecated: str_replace(): Passing null to parameter #3 ($subject) of type array|string is deprecated in C:\Inetpub\vhosts\kidney.de\httpdocs\mlpefetch.php on line 525
Warning: Undefined variable $sterm in C:\Inetpub\vhosts\kidney.de\httpdocs\mlpefetch.php on line 530
 free
Warning: Undefined variable $sterm in C:\Inetpub\vhosts\kidney.de\httpdocs\mlpefetch.php on line 531
 free
 free
 
English Wikipedia
Nephropedia Template TP (
Twit Text
DeepDyve
Pubget Overpricing |  
lüll
InnateDB: facilitating systems-level analyses of the mammalian innate immune response Lynn DJ; Winsor GL; Chan C; Richard N; Laird MR; Barsky A; Gardy JL; Roche FM; Chan TH; Shah N; Lo R; Naseer M; Que J; Yau M; Acab M; Tulpan D; Whiteside MD; Chikatamarla A; Mah B; Munzner T; Hokamp K; Hancock RE; Brinkman FSMol Syst Biol 2008[]; 4 (ä): 218Although considerable progress has been made in dissecting the signaling pathways involved in the innate immune response, it is now apparent that this response can no longer be productively thought of in terms of simple linear pathways. InnateDB (www.innatedb.ca) has been developed to facilitate systems-level analyses that will provide better insight into the complex networks of pathways and interactions that govern the innate immune response. InnateDB is a publicly available, manually curated, integrative biology database of the human and mouse molecules, experimentally verified interactions and pathways involved in innate immunity, along with centralized annotation on the broader human and mouse interactomes. To date, more than 3500 innate immunity-relevant interactions have been contextually annotated through the review of 1000 plus publications. Integrated into InnateDB are novel bioinformatics resources, including network visualization software, pathway analysis, orthologous interaction network construction and the ability to overlay user-supplied gene expression data in an intuitively displayed molecular interaction network and pathway context, which will enable biologists without a computational background to explore their data in a more systems-oriented manner.|*Databases, Factual[MESH]|*Immunity, Innate[MESH]|*Software[MESH]|Animals[MESH]|Computational Biology/methods[MESH]|Humans[MESH]|Internet[MESH]|Signal Transduction/*immunology[MESH]|Systems Biology[MESH] |
