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Computational Methods for the Analysis of Genomic Data and Biological Processes
| Computational Methods for the Analysis of Genomic Data and Biological Processes |
| Autore | Gómez Vela Francisco A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (222 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general |
| Soggetto non controllato |
binding sites
bioinformatics bioinformatics analysis CAMTA1 cancer CBF chilling stress Chou's 5-steps rule chromatin interactions classification clustering computational biology computational intelligence Convolution Neural Network (CNN) CRISPR-Cas9 data mining deep learning differential genes expression differentiation DNA methylation DNA N6-methyladenine DREB ensembles eQTL exercise fine-mapping gene co-expression network Gene Ontology gene-set enrichment genome architecture genomics hepatocellular carcinoma HIGD2A high-fat diet hypoxia immune response infiltration infiltration tactics optimization algorithm Long Short-Term Memory (LSTM) machine learning machine-learning meta-analysis methylation microarray miRNA mRNA expression murine coronavirus n/a obesity pathway pathways potential therapeutic targets power prediction proteomics quercetin Reactome Pathways RNA N6-methyladenosine site single-cell clone systems biology text mining transcription factor transcriptomics viral infection yeast genome |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557129603321 |
Gómez Vela Francisco A
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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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Hydrogen Sulfide and Reactive Oxygen Species, Antioxidant Defense, Abiotic Stress Tolerance Mechanisms in Plants
| Hydrogen Sulfide and Reactive Oxygen Species, Antioxidant Defense, Abiotic Stress Tolerance Mechanisms in Plants |
| Autore | Xie Yanjie |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto topico |
Mathematics & science
Biology, life sciences Molecular biology |
| Soggetto non controllato |
antioxidant defense systems
Cd stress hydrogen sulfide melatonin oxidative stress transportation and sequestration nitric oxide abscisic acid Ca2+ hydrogen peroxide abiotic stresses signal transmitters stomatal movement persulfidation drought stress nitrate reductase l-cysteine desulfhydrase chilling stress indole-3-acetic acid signaling pathway calcium deficiency endogenous H2S reactive oxygen species ERF2-bHLH2-CML5 module postharvest storage quality tomato cysteine desulfhydrase leaf senescence ARF auxin cold stress cucumber DREB module resistance root growth heavy metal salt DES1 ABI4 protein stability Brassica rapa mercury selenium biotic stress abiotic stress salicylic acid jasmonic acid ethylene phytohormones Arabidopsis manganese stress L-cysteine desulfhydrase antioxidant enzyme Allium garlic gas detector ion-selective microelectrode isozymes RBOHs signaling networks |
| ISBN | 3-0365-5375-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619463703321 |
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Xie Yanjie
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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