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10.1186/s12859-017-1787-5 http://scihub22266oqcxt.onion/10.1186/s12859-017-1787-5 C5606216!5606216 !28929969     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28929969 &cmd=llinks): Failed to open stream: HTTP request failed! 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CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components |pdf=|usr=}}{{28929969 }} gab.com Text CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components JO: BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=28929969 #FOAvip BACKGROUND: The advent of "omics" science has brought new perspectives in contemporary biology through the high-throughput analyses of molecular interactions, providing new clues in protein/gene function and in the organization of biological pathways. Biomolecular interaction networks, or graphs, are simple abstract representations where the components of a cell (e.g. proteins, metabolites etc.) are represented by nodes and their interactions are represented by edges. An appropriate visualization of data is crucial for understanding such networks, since pathways are related to functions that occur in specific regions of the cell. The force-directed layout is an important and widely used technique to draw networks according to their topologies. Placing the networks into cellular compartments helps to quickly identify where network elements are located and, more specifically, concentrated. Currently, only a few tools provide the capability of visually organizing networks by cellular compartments. Most of them cannot handle large and dense networks. Even for small networks with hundreds of nodes the available tools are not able to reposition the network while the user is interacting, limiting the visual exploration capability. RESULTS: Here we propose CellNetVis, a web tool to easily display biological networks in a cell diagram employing a constrained force-directed layout algorithm. The tool is freely available and open-source. It was originally designed for networks generated by the Integrated Interactome System and can be used with networks from others databases, like InnateDB. CONCLUSIONS: CellNetVis has demonstrated to be applicable for dynamic investigation of complex networks over a consistent representation of a cell on the Web, with capabilities not matched elsewhere. Twit Text FOAVip CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components ????BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=28929969 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28929969 #FOAvip English Wikipedia <ref>{{Cite pmid|28929969 }}</ref> CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components #MMPMID28929969 Heberle H ; Carazzolle MF ; Telles GP ; Meirelles GV ; Minghim R BMC Bioinformatics 2017[Sep]; 18 (Suppl 10 ): 395 PMID28929969 show ga BACKGROUND: The advent of "omics" science has brought new perspectives in contemporary biology through the high-throughput analyses of molecular interactions, providing new clues in protein/gene function and in the organization of biological pathways. Biomolecular interaction networks, or graphs, are simple abstract representations where the components of a cell (e.g. proteins, metabolites etc.) are represented by nodes and their interactions are represented by edges. An appropriate visualization of data is crucial for understanding such networks, since pathways are related to functions that occur in specific regions of the cell. The force-directed layout is an important and widely used technique to draw networks according to their topologies. Placing the networks into cellular compartments helps to quickly identify where network elements are located and, more specifically, concentrated. Currently, only a few tools provide the capability of visually organizing networks by cellular compartments. Most of them cannot handle large and dense networks. Even for small networks with hundreds of nodes the available tools are not able to reposition the network while the user is interacting, limiting the visual exploration capability. RESULTS: Here we propose CellNetVis, a web tool to easily display biological networks in a cell diagram employing a constrained force-directed layout algorithm. The tool is freely available and open-source. It was originally designed for networks generated by the Integrated Interactome System and can be used with networks from others databases, like InnateDB. CONCLUSIONS: CellNetVis has demonstrated to be applicable for dynamic investigation of complex networks over a consistent representation of a cell on the Web, with capabilities not matched elsewhere. |*Internet [MESH] |*Metabolic Networks and Pathways [MESH] |*Software [MESH] |Algorithms [MESH] |Cells/*metabolism [MESH] |Databases, Factual [MESH] |Gene Ontology [MESH] |Humans [MESH] |MAP Kinase Signaling System [MESH]CellNetVis: a web tool for visualization of biological networks using (epmc).pdf DeepDyve Pubget Overpricing