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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 online resource (276 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
all ion fragmentation
biostatistics bootstrapped-VIP chemical classification combinatorial fragmentation compound identification computational metabolomics computational statistical constraint-based modeling data processing data repository data-dependent acquisition (DDA) data-independent acquisition disease risk enrichment analysis environmental factors experimental design flux balance forensics fragmentation (MS/MS) full-scan MS/MS processing genome-scale metabolic modeling global metabolomics gut microbiome host-microbiome in silico in silico workflows ion selection algorithms LC-MS lipidomics liquid chromatography liquid chromatography high-resolution mass spectrometry liquid chromatography mass spectrometry liquid chromatography-mass spectrometry (LC-MS) liquid chromatography-mass spectrometry (LC/MS) mass spectral libraries mass spectrometry mass spectrometry imaging meta-omics metabolic networks metabolic pathway and network analysis metabolic profiling metabolic reconstructions metabolism metabolite annotation metabolite identification metabolome mining metabolomics metabolomics data mapping metabolomics imaging metagenomics molecular families MS spectral prediction multivariate risk modeling networking nontarget analysis NPLS pathway analysis PLS R programming R-MetaboList 2 reanalysis rule-based fragmentation sample preparation simulator spectra processing structure-based chemical classification substructures supervised learning tandem mass spectral library targeted analysis time series triplot univariate and multivariate statistics unsupervised learning untargeted analysis untargeted metabolomics variable selection wastewater |
| 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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Using Genomics, Metagenomics and Other "Omics" to Assess Valuable Microbial Ecosystem Services and Novel Biotechnological Applications
| Using Genomics, Metagenomics and Other "Omics" to Assess Valuable Microbial Ecosystem Services and Novel Biotechnological Applications |
| Autore | Elizabeth Marco Diana |
| Pubbl/distr/stampa | Frontiers Media SA, 2019 |
| Descrizione fisica | 1 online resource (674 p.) |
| Soggetto topico |
Medical microbiology and virology
Microbiology (non-medical) Science: general issues |
| Soggetto non controllato |
biotechnology
ecosystem services genomics industrial processes meta-omics metagenomics microbial ecology natural products |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557392703321 |
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Elizabeth Marco Diana
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| Frontiers Media SA, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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