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10.1093/database/bav030 http://scihub22266oqcxt.onion/10.1093/database/bav030 C4401337!4401337 !25887162     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=25887162 &cmd=llinks): Failed to open stream: HTTP request failed! 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Causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems |pdf=|usr=}}{{25887162 }} gab.com Text Causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems JO: Database (Oxford) http://www.kidney.de/pget.php?&tw=1&pmid=25887162 #FOAvip With the wealth of publications and data available, powerful and transparent computational approaches are required to represent measured data and scientific knowledge in a computable and searchable format. We developed a set of biological network models, scripted in the Biological Expression Language, that reflect causal signaling pathways across a wide range of biological processes, including cell fate, cell stress, cell proliferation, inflammation, tissue repair and angiogenesis in the pulmonary and cardiovascular context. This comprehensive collection of networks is now freely available to the scientific community in a centralized web-based repository, the Causal Biological Network database, which is composed of over 120 manually curated and well annotated biological network models and can be accessed at http://causalbionet.com. The website accesses a MongoDB, which stores all versions of the networks as JSON objects and allows users to search for genes, proteins, biological processes, small molecules and keywords in the network descriptions to retrieve biological networks of interest. The content of the networks can be visualized and browsed. Nodes and edges can be filtered and all supporting evidence for the edges can be browsed and is linked to the original articles in PubMed. Moreover, networks may be downloaded for further visualization and evaluation. Database URL: http://causalbionet.com Twit Text FOAVip Causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems ????Database (Oxford) http://www.kidney.de/pget.php?&tw=1&pmid=25887162 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25887162 #FOAvip English Wikipedia <ref>{{Cite pmid|25887162 }}</ref> Causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems #MMPMID25887162 Boué S ; Talikka M ; Westra JW ; Hayes W ; Di Fabio A ; Park J ; Schlage WK ; Sewer A ; Fields B ; Ansari S ; Martin F ; Veljkovic E ; Kenney R ; Peitsch MC ; Hoeng J Database (Oxford) 2015[]; 2015 (ä): bav030 PMID25887162 show ga With the wealth of publications and data available, powerful and transparent computational approaches are required to represent measured data and scientific knowledge in a computable and searchable format. We developed a set of biological network models, scripted in the Biological Expression Language, that reflect causal signaling pathways across a wide range of biological processes, including cell fate, cell stress, cell proliferation, inflammation, tissue repair and angiogenesis in the pulmonary and cardiovascular context. This comprehensive collection of networks is now freely available to the scientific community in a centralized web-based repository, the Causal Biological Network database, which is composed of over 120 manually curated and well annotated biological network models and can be accessed at http://causalbionet.com. The website accesses a MongoDB, which stores all versions of the networks as JSON objects and allows users to search for genes, proteins, biological processes, small molecules and keywords in the network descriptions to retrieve biological networks of interest. The content of the networks can be visualized and browsed. Nodes and edges can be filtered and all supporting evidence for the edges can be browsed and is linked to the original articles in PubMed. Moreover, networks may be downloaded for further visualization and evaluation. Database URL: http://causalbionet.com |*Cardiovascular System [MESH] |*Databases, Factual [MESH] |*Lung [MESH] |*Models, Cardiovascular [MESH] |Animals [MESH] |Cell Differentiation [MESH] |Cell Proliferation [MESH] |Humans [MESH] |Neovascularization, Physiologic [MESH]Causal biological network database: a comprehensive platform of causal(epmc).pdf DeepDyve Pubget Overpricing