LEADER 01432oam 2200409 450 001 9910704924803321 005 20150128144446.0 035 $a(CKB)5470000002446500 035 $a(OCoLC)898190210 035 $a(EXLCZ)995470000002446500 100 $a20141216d2013 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aMicrogrid V2G charging station interconnection testing /$fMike Simpson 210 1$a[Golden, Colo.] :$cNational Renewable Energy Laboratory,$d2013. 215 $a1 online resource (13 pages) $ccolor illustrations 225 1 $aNREL/PR ;$v5400-59200 300 $aTitle from title screen (viewed on Dec. 15, 2014). 300 $a"17 July 2013." 300 $a"Electric Power Reserch Institute (EPRI), Infrastructure Working Council, Palo Alto, California." 606 $aElectric vehicles$xResearch$vCongresses 606 $aPower resources$xTesting$vCongresses 608 $aConference papers and proceedings.$2lcgft 615 0$aElectric vehicles$xResearch 615 0$aPower resources$xTesting 700 $aSimpson$b Mike$01167922 712 02$aNational Renewable Energy Laboratory (U.S.), 801 0$bGPO 801 1$bGPO 801 2$bGPO 906 $aBOOK 912 $a9910704924803321 996 $aMicrogrid V2G charging station interconnection testing$93513296 997 $aUNINA LEADER 05000nam 2201321z- 450 001 9910557354403321 005 20220111 035 $a(CKB)5400000000042346 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76855 035 $a(oapen)doab76855 035 $a(EXLCZ)995400000000042346 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMetabolomics Data Processing and Data Analysis-Current Best Practices 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (276 p.) 311 08$a3-0365-1194-6 311 08$a3-0365-1195-4 330 $aMetabolomics data analysis strategies are central to transforming raw metabolomics data files into meaningful biochemical interpretations that answer biological questions or generate novel hypotheses. This book contains a variety of papers from a Special Issue around the theme "Best Practices in Metabolomics Data Analysis". Reviews and strategies for the whole metabolomics pipeline are included, whereas key areas such as metabolite annotation and identification, compound and spectral databases and repositories, and statistical analysis are highlighted in various papers. Altogether, this book contains valuable information for researchers just starting in their metabolomics career as well as those that are more experienced and look for additional knowledge and best practice to complement key parts of their metabolomics workflows. 606 $aResearch & information: general$2bicssc 610 $aall ion fragmentation 610 $abiostatistics 610 $abootstrapped-VIP 610 $achemical classification 610 $acombinatorial fragmentation 610 $acompound identification 610 $acomputational metabolomics 610 $acomputational statistical 610 $aconstraint-based modeling 610 $adata processing 610 $adata repository 610 $adata-dependent acquisition (DDA) 610 $adata-independent acquisition 610 $adisease risk 610 $aenrichment analysis 610 $aenvironmental factors 610 $aexperimental design 610 $aflux balance 610 $aforensics 610 $afragmentation (MS/MS) 610 $afull-scan MS/MS processing 610 $agenome-scale metabolic modeling 610 $aglobal metabolomics 610 $agut microbiome 610 $ahost-microbiome 610 $ain silico 610 $ain silico workflows 610 $aion selection algorithms 610 $aLC-MS 610 $aLC-MS 610 $alipidomics 610 $aliquid chromatography 610 $aliquid chromatography high-resolution mass spectrometry 610 $aliquid chromatography mass spectrometry 610 $aliquid chromatography-mass spectrometry (LC-MS) 610 $aliquid chromatography-mass spectrometry (LC/MS) 610 $amass spectral libraries 610 $amass spectrometry 610 $amass spectrometry imaging 610 $ameta-omics 610 $ametabolic networks 610 $ametabolic pathway and network analysis 610 $ametabolic profiling 610 $ametabolic reconstructions 610 $ametabolism 610 $ametabolite annotation 610 $ametabolite identification 610 $ametabolome mining 610 $ametabolomics 610 $ametabolomics data mapping 610 $ametabolomics imaging 610 $ametagenomics 610 $amolecular families 610 $aMS spectral prediction 610 $amultivariate risk modeling 610 $anetworking 610 $anontarget analysis 610 $aNPLS 610 $apathway analysis 610 $aPLS 610 $aR programming 610 $aR-MetaboList 2 610 $areanalysis 610 $arule-based fragmentation 610 $asample preparation 610 $asimulator 610 $aspectra processing 610 $astructure-based chemical classification 610 $asubstructures 610 $asupervised learning 610 $atandem mass spectral library 610 $atargeted analysis 610 $atime series 610 $atriplot 610 $aunivariate and multivariate statistics 610 $aunsupervised learning 610 $auntargeted analysis 610 $auntargeted metabolomics 610 $avariable selection 610 $awastewater 615 7$aResearch & information: general 700 $aHanhineva$b Kati$4edt$01328811 702 $aVan der Hooft$b Justin$4edt 702 $aHanhineva$b Kati$4oth 702 $aVan der Hooft$b Justin$4oth 906 $aBOOK 912 $a9910557354403321 996 $aMetabolomics Data Processing and Data Analysis-Current Best Practices$94416432 997 $aUNINA LEADER 02987oas 2201201 a 450 001 9910154507103321 005 20251105213014.0 011 $a1531-5320 035 $a(DE-599)ZDB2031311-1 035 $a(OCoLC)44944457 035 $a(CONSER) 00213546 035 $a(CKB)954925602722 035 $a(EXLCZ)99954925602722 100 $a20000906a19949999 sy a 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPsychonomic bulletin & review 210 $aAustin, TX $cPsychonomic Society 210 3 $a[Germany] $cSpringer-Verlag 300 $aRefereed/Peer-reviewed 300 $a"A publication of the Psychonomic Society." 311 08$a1069-9384 517 3 $aPsychonomic bulletin and review 517 1 $aPB & R 531 0 $aPsychon. bull. rev. 606 $aPsychology$vPeriodicals 606 $aPsychology, Experimental$vPeriodicals 606 $aPsychology 606 $aPsychology, Experimental 606 $aPsychophysiology 606 $aPsychologie expe?rimentale$vPe?riodiques 606 $apsychology$2aat 606 $aPsychology$2fast$3(OCoLC)fst01081447 606 $aPsychology, Experimental$2fast$3(OCoLC)fst01081581 606 $aPsicologia experimental$2thub 606 $aPsicologia$2thub 608 $aPeriodical. 608 $aperiodicals.$2aat 608 $aPeriodicals.$2fast 608 $aPeriodicals.$2lcgft 608 $aPe?riodiques.$2rvmgf 608 $aRevistes electròniques.$2thub 615 0$aPsychology 615 0$aPsychology, Experimental 615 2$aPsychology. 615 2$aPsychology, Experimental. 615 2$aPsychophysiology. 615 6$aPsychologie expe?rimentale 615 7$apsychology. 615 7$aPsychology. 615 7$aPsychology, Experimental. 615 7$aPsicologia experimental. 615 7$aPsicologia. 676 $a150 712 02$aPsychonomic Society 801 0$bNSD 801 1$bNSD 801 2$bOCLCQ 801 2$bNSD 801 2$bOCLCS 801 2$bCIT 801 2$bLGG 801 2$bOCLCQ 801 2$bUKMGB 801 2$bOCLCQ 801 2$bBUF 801 2$bOCLCO 801 2$bOCLCQ 801 2$bDLC 801 2$bOCLCF 801 2$bOCLCO 801 2$bVT2 801 2$bOCLCQ 801 2$bOCLCO 801 2$bOCLCQ 801 2$bOCLCA 801 2$bTSC 801 2$bKSU 801 2$bOCLCO 801 2$bU3W 801 2$bWYU 801 2$bAUD 801 2$bOCLCO 801 2$bDLC 801 2$bQGK 801 2$bOCLCQ 801 2$bOCLCO 801 2$bOCLCQ 801 2$bUAB 801 2$bUEJ 801 2$bSXB 801 2$bOCLCL 801 2$bCSU 801 2$bLIP 801 2$bAPUMS 801 2$bOCLCQ 906 $aJOURNAL 912 $a9910154507103321 996 $aPsychonomic bulletin & review$91925605 997 $aUNINA