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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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Recent Advances in Volatile Organic Compound Analysis as Diagnostic Biomarkers
| Recent Advances in Volatile Organic Compound Analysis as Diagnostic Biomarkers |
| Autore | Drabińska Natalia |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (224 p.) |
| Soggetto topico |
Research & information: general
Chemistry |
| Soggetto non controllato |
liquid–liquid extraction
volatile compounds urine method optimization GC-MS 1H-NMR iron deficiency anaemia iron supplementation volatile organic compounds (VOCs) intestinal metabolome gut microbiome CDH microbiome VOCs spiroergometry outcome exhaled breath eNose smoking asthma COPD NTD-GC-MS breath lung cancer biomarkers volatile organic compounds urine analysis comprehensive two-dimensional gas chromatography kidney diseases urinary biomarkers hepatocellular carcinoma diagnosis headspace analysis untargeted analysis breath analysis cancer biomarkers volatolomics whole grain rye comprehensive two-dimensional gas chromatography–mass spectrometry dietary fiber e-nose electronic nose breathing rhythm mechanical ventilation anesthesia supplemental oxygen oxygen toxicity lipid peroxidation volatile aldehydes pentanal hexanal classification models dairy cows fecal headspace Mycobacterium avium ssp. paratuberculosis (MAP) paratuberculosis random forest stable air volatile organic compound (VOC) biomarker MCC–IMS ventilator-induced lung injury metabolome feces neonates fermentation protein carbohydrate short chain fatty acid metabolites volatile organic compound acute gastritis antibiotic treatment treatment dynamics: microbiota mid-infrared spectroscopy short-chain fatty acid alpha-keto acid Helicobacter pylori MOX sensors low sensing chamber volume calibration transfer standard samples piecewise direct standardization correlation alignment breath sampling pattern recognition |
| ISBN | 3-0365-5349-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619463903321 |
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Drabińska Natalia
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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