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Metabolomics Data Processing and Data Analysis—Current Best Practices
| Metabolomics Data Processing and Data Analysis—Current Best Practices |
| Autore | Hanhineva Kati |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (276 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
metabolic networks
mass spectral libraries metabolite annotation metabolomics data mapping nontarget analysis liquid chromatography mass spectrometry compound identification tandem mass spectral library forensics wastewater gut microbiome meta-omics metagenomics metabolomics metabolic reconstructions genome-scale metabolic modeling constraint-based modeling flux balance host–microbiome metabolism global metabolomics LC-MS spectra processing pathway analysis enrichment analysis mass spectrometry liquid chromatography MS spectral prediction metabolite identification structure-based chemical classification rule-based fragmentation combinatorial fragmentation time series PLS NPLS variable selection bootstrapped-VIP data repository computational metabolomics reanalysis lipidomics data processing triplot multivariate risk modeling environmental factors disease risk chemical classification in silico workflows metabolome mining molecular families networking substructures mass spectrometry imaging metabolomics imaging biostatistics ion selection algorithms liquid chromatography high-resolution mass spectrometry data-independent acquisition all ion fragmentation targeted analysis untargeted analysis R programming full-scan MS/MS processing R-MetaboList 2 liquid chromatography–mass spectrometry (LC/MS) fragmentation (MS/MS) data-dependent acquisition (DDA) simulator in silico untargeted metabolomics liquid chromatography–mass spectrometry (LC-MS) experimental design sample preparation univariate and multivariate statistics metabolic pathway and network analysis LC–MS metabolic profiling computational statistical unsupervised learning supervised learning |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557354403321 |
Hanhineva Kati
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mycotoxins in Feed and Food Chain : Present Status and Future Concerns
| Mycotoxins in Feed and Food Chain : Present Status and Future Concerns |
| Autore | Rossi Filippo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (224 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
Atlantic salmon
zebrafish liquid chromatography high-resolution mass spectrometry mycotoxins phytoestrogens plant-based feed rice sterigmatocystin STC deoxynivalenol DON growing season azoxystrobin fungicide Fumonisins Fusarium spp food contamination health issues secondary metabolites Aflatoxins binding food safety biocontrol food discipline ergot alkaloids ergochromes secalonic acid cereals tetrahydroxanthones Claviceps aflatoxin mycotoxin black soldier fly BSFL Hermetia illucens S9 fraction cytochrome P450 metabolic conversion enzyme induction Alternaria mycotoxins combinatory effects combined toxicity co-occurrence bioactive compounds fungi phaseolinone LC/MS soybean charcoal rot disease root infection mechanism Fusarium species toxigenic profile mycotoxin migration sweet pepper fungal disease fumonisin human exposure maize products botryodiplodin root toxicity Macrophomina phaseolina hydroponic culture AMF1 infant formulae estimated daily intake carcinogenic risk index Monterrey (Mexico) T-2 toxin HT-2 toxin deoxynivalenol (DON) enniatin B (EnnB) size sorting unprocessed cereals |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Mycotoxins in Feed and Food Chain |
| Record Nr. | UNINA-9910557299203321 |
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Rossi Filippo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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