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10.1038/srep10021 http://scihub22266oqcxt.onion/10.1038/srep10021 C4437304!4437304!25989388     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2015 ; 5 (ä): ä Nephropedia Template TP {{tp|p=25989388|t=2015. PALM-IST: Pathway Assembly from Literature Mining - an Information Search Tool |pdf=|usr=}}{{25989388}} gab.com Text PALM-IST: Pathway Assembly from Literature Mining - an Information Search Tool JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=25989388 #FOAvip Manual curation of biomedical literature has become extremely tedious process due to its exponential growth in recent years. To extract meaningful information from such large and unstructured text, newer and more efficient mining tool is required. Here, we introduce PALM-IST, a computational platform that not only allows users to explore biomedical abstracts using keyword based text mining but also extracts biological entity (e.g., gene/protein, drug, disease, biological processes, cellular component, etc.) information from the extracted text and subsequently mines various databases to provide their comprehensive inter-relation (e.g., interaction, expression, etc.). PALM-IST constructs protein interaction network and pathway information data relevant to the text search using multiple data mining tools and assembles them to create a meta-interaction network. It also analyzes scientific collaboration by extraction and creation of ?co-authorship network,? for a given search context. Hence, this useful combination of literature and data mining provided in PALM-IST can be used to extract novel protein-protein interaction (PPI), to generate meta-pathways and further to identify key crosstalk and bottleneck proteins. PALM-IST is available at www.hpppi.iicb.res.in/ctm. Twit Text FOAVip PALM-IST: Pathway Assembly from Literature Mining - an Information Search Tool ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=25989388 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25989388 #FOAvip English Wikipedia <ref>{{Cite pmid|25989388}}</ref> PALM-IST: Pathway Assembly from Literature Mining - an Information Search Tool #MMPMID25989388 Mandloi S; Chakrabarti S Sci Rep 2015[]; 5 (ä): ä PMID25989388show ga Manual curation of biomedical literature has become extremely tedious process due to its exponential growth in recent years. To extract meaningful information from such large and unstructured text, newer and more efficient mining tool is required. Here, we introduce PALM-IST, a computational platform that not only allows users to explore biomedical abstracts using keyword based text mining but also extracts biological entity (e.g., gene/protein, drug, disease, biological processes, cellular component, etc.) information from the extracted text and subsequently mines various databases to provide their comprehensive inter-relation (e.g., interaction, expression, etc.). PALM-IST constructs protein interaction network and pathway information data relevant to the text search using multiple data mining tools and assembles them to create a meta-interaction network. It also analyzes scientific collaboration by extraction and creation of ?co-authorship network,? for a given search context. Hence, this useful combination of literature and data mining provided in PALM-IST can be used to extract novel protein-protein interaction (PPI), to generate meta-pathways and further to identify key crosstalk and bottleneck proteins. PALM-IST is available at www.hpppi.iicb.res.in/ctm. äPALM-IST: Pathway Assembly from Literature Mining - an Information Sea(epmc).pdf DeepDyve Pubget Overpricing