LEADER 00897nam0-22003131i-450 001 990004140200403321 005 20250704102139.0 035 $a000414020 035 $aFED01000414020 035 $a(Aleph)000414020FED01 100 $a19990604d1965----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $a<>insuccesso e il ritardo nella scuola media$fAmleto Bassi 210 $aFirenze$cLa Nuova Italia$d1965 215 $a250 p.$d21 cm 225 1 $a<>nuova scuola media$v5 700 1$aBassi,$bAmleto$0160612 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004140200403321 952 $aP.1 PEP 82$bI.F.M.306$fFLFBC 952 $aFil. Teor. 1821$b1804$fFLFBC 952 $aCER 284$b290$fDARPU 959 $aDARPU 959 $aFLFBC 996 $aInsuccesso e il ritardo nella scuola media$9476938 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