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10.1021/ac5025649 http://scihub22266oqcxt.onion/10.1021/ac5025649 C4303330!4303330!25496351     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Anal+Chem 2015 ; 87 (2): 884-91 Nephropedia Template TP {{tp|p=25496351|t=2015. Autonomous Metabolomics for Rapid Metabolite Identification in Global Profiling |pdf=|usr=}}{{25496351}} gab.com Text Autonomous Metabolomics for Rapid Metabolite Identification in Global Profiling JO: Anal Chem http://www.kidney.de/pget.php?&tw=1&pmid=25496351 #FOAvip An autonomous metabolomic workflow combining mass spectrometry analysis with tandem mass spectrometry data acquisition was designed to allow for simultaneous data processing and metabolite characterization. Although previously tandem mass spectrometry data have been generated on the fly, the experiments described herein combine this technology with the bioinformatic resources of XCMS and METLIN. As a result of this unique integration, we can analyze large profiling datasets and simultaneously obtain structural identifications. Validation of the workflow on bacterial samples allowed the profiling on the order of a thousand metabolite features with simultaneous tandem mass spectra data acquisition. The tandem mass spectrometry data acquisition enabled automatic search and matching against the METLIN tandem mass spectrometry database, shortening the current workflow from days to hours. Overall, the autonomous approach to untargeted metabolomics provides an efficient means of metabolomic profiling, and will ultimately allow the more rapid integration of comparative analyses, metabolite identification, and data analysis at a systems biology level. Twit Text FOAVip Autonomous Metabolomics for Rapid Metabolite Identification in Global Profiling ????Anal Chem http://www.kidney.de/pget.php?&tw=1&pmid=25496351 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25496351 #FOAvip English Wikipedia <ref>{{Cite pmid|25496351}}</ref> Autonomous Metabolomics for Rapid Metabolite Identification in Global Profiling #MMPMID25496351 Benton HP; Ivanisevic J; Mahieu N; Kurczy ME; Johnson CH; Franco L; Rinehart D; Valentine E; Gowda H; Ubhi B; Tautenhahn R; Gieschen A; Fields M; Patti GJ; Siuzdak G Anal Chem 2015[Jan]; 87 (2): 884-91 PMID25496351show ga An autonomous metabolomic workflow combining mass spectrometry analysis with tandem mass spectrometry data acquisition was designed to allow for simultaneous data processing and metabolite characterization. Although previously tandem mass spectrometry data have been generated on the fly, the experiments described herein combine this technology with the bioinformatic resources of XCMS and METLIN. As a result of this unique integration, we can analyze large profiling datasets and simultaneously obtain structural identifications. Validation of the workflow on bacterial samples allowed the profiling on the order of a thousand metabolite features with simultaneous tandem mass spectra data acquisition. The tandem mass spectrometry data acquisition enabled automatic search and matching against the METLIN tandem mass spectrometry database, shortening the current workflow from days to hours. Overall, the autonomous approach to untargeted metabolomics provides an efficient means of metabolomic profiling, and will ultimately allow the more rapid integration of comparative analyses, metabolite identification, and data analysis at a systems biology level. äAutonomous Metabolomics for Rapid Metabolite Identification in Global (epmc).pdf DeepDyve Pubget Overpricing