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dc.contributor.authorMontenegro-Burke, Jose R.
dc.contributor.authorPhommavongsay, Thiery
dc.contributor.authorAisporna, Aries E.
dc.contributor.authorHuan, Tao
dc.contributor.authorRinehart, Duane
dc.contributor.authorForsberg, Erica M.
dc.contributor.authorPoole, Farris L.
dc.contributor.authorThorgersen, Michael P.
dc.contributor.authorAdams, Michael W. W.
dc.contributor.authorKrantz, Gregory
dc.contributor.authorFields, Matthew W.
dc.contributor.authorNorthen, Trent R.
dc.contributor.authorRobbins, Paul D.
dc.contributor.authorNiedernhofer, Laura J.
dc.contributor.authorLairson, Luke L.
dc.contributor.authorBenton, H. Paul
dc.contributor.authorSiuzdak, Gary
dc.date.accessioned2017-06-13T17:28:40Z
dc.date.available2017-06-13T17:28:40Z
dc.date.issued2016-08
dc.identifier.citationMontenegro-Burke JR, Phommavongsay T, Aisporna AE, Huan T, Rinehart D,Forsberg E, Poole FL, Thorgersen MP, Adams MW, Krantz G, Fields MW, Northen TR, Robbins PD, Niedernhofer LJ, Lairson L, Benton HP, Siuzdak G, “ Smartphone Analytics: Mobilizing the Lab into the Cloud for Omic-Scale Analyses,” Analytical Chemistry, 2016 Oct 4;88(19):9753-9758.en_US
dc.identifier.issn0003-2700
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/13052
dc.description.abstractActive data screening is an integral part of many scientific activities, and mobile technologies have greatly facilitated this process by minimizing the reliance on large hardware instrumentation. In order to meet with the increasingly growing field of metabolomics and heavy workload of data processing, we designed the first remote metabolomic data screening platform for mobile devices. Two mobile applications (apps), XCMS Mobile and METLIN Mobile, facilitate access to XCMS and METLIN, which are the most important components in the computer-based XCMS Online platforms. These mobile apps allow for the visualization and analysis of metabolic data throughout the entire analytical process. Specifically, XCMS Mobile and METLIN Mobile provide the capabilities for remote monitoring of data processing, real time notifications for the data processing, visualization and interactive analysis of processed data (e.g., cloud plots, principle component analysis, box-plots, extracted ion chromatograms, and hierarchical cluster analysis), and database searching for metabolite identification. These apps, available on Apple iOS and Google Android operating systems, allow for the migration of metabolomic research onto mobile devices for better accessibility beyond direct instrument operation. The utility of XCMS Mobile and METLIN Mobile functionalities was developed and is demonstrated here through the metabolomic LC-MS analyses of stem cells, colon cancer, aging, and bacterial metabolism.en_US
dc.titleSmartphone Analytics: Mobilizing the Lab into the Cloud for Omic-Scale Analysesen_US
dc.typeArticleen_US
mus.citation.extentfirstpage9753en_US
mus.citation.extentlastpage9758en_US
mus.citation.issue19en_US
mus.citation.journaltitleAnalytical Chemistryen_US
mus.citation.volume88en_US
mus.identifier.categoryEngineering & Computer Scienceen_US
mus.identifier.doi10.1021/acs.analchem.6b02676en_US
mus.relation.collegeCollege of Agricultureen_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentCenter for Biofilm Engineering.en_US
mus.relation.departmentMicrobiology & Immunology.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.relation.researchgroupCenter for Biofilm Engineering.en_US
mus.data.thumbpage4en_US


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