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
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Metabolomics, Oxidative, and Nitrosative Stress in the Perinatal Period
| Metabolomics, Oxidative, and Nitrosative Stress in the Perinatal Period |
| Autore | Kuligowski Julia |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (150 p.) |
| Soggetto topico | Medicine and Nursing |
| Soggetto non controllato |
allopurinol
antioxidant capacity asphyxia neonatorum balloon atrial septostomy breastmilk bronchopulmonary dysplasia donor milk endotoxin female advantage glutamate glutathione Holder pasteurization hyperoxia hypothermia hypoxemia hypoxia ischemia hypoxic-ischemic encephalopathy intraventricular hemorrhage kynurenic acid (KYNA) liquid chromatography-mass spectrometry (LC-MS) magnetic resonance spectroscopy male disadvantage metabolomics mortality MRS N-acetylcysteine n/a necrotizing enterocolitis neonatal HIE neonatal hypoxia-ischemia neuroprotection newborn non-invasive diagnostics oxidative damage oxidative stress periventricular leukomalacia prematurity preterm preterm birth retinopathy of prematurity saliva sex differences transposition of the great arteries treatment vitamin D |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595067203321 |
Kuligowski Julia
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sample Preparation in Metabolomics
| Sample Preparation in Metabolomics |
| Autore | Kuligowski Julia |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (208 p.) |
| Soggetto topico | Medicine and Nursing |
| Soggetto non controllato |
20% FCS
AMOPLS AsPC-1 biomarkers capillary electrophoresis-mass spectrometry capillary electrophoresis-mass spectrometry (CE-MS) cardiovascular disease cell line databases design of experiments diagnostics drug discovery electromembrane extraction exosomes extracellular vesicles extraction forestry gas chromatography gas chromatography-mass spectrometry (GC-MS) GC-MS harvesting high resolution mass spectrometry high-resolution magic angle spinning human cell line human milk human plasma hydrophilic interaction liquid chromatography ion mobility spectrometry IT-139 KP1339 LC-MS LC-MS/MS lipidomics liquid chromatography liquid chromatography-mass spectrometry liquid chromatography-mass spectrometry (LC-MS) mass spectrometry metabolic pathways metabolic profiling metabolite extraction metabolites metabolome metabolomics metabonomics metadata standardization metallodrugs method development MiaPaCa-2 microscopic samples microvesicles multi-segment injection multicellular tumor spheroids NMR normalization nuclear magnetic resonance (NMR) nuclear magnetic resonance spectroscopy oxaliplatin Panc-1 plant metabolomics plant natural products sample preparation sampling trees |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557141203321 |
Kuligowski Julia
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||