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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 electronic resource (222 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences |
| Soggetto non controllato |
HIGD2A
cancer DNA methylation mRNA expression miRNA quercetin hypoxia eQTL CRISPR-Cas9 single-cell clone fine-mapping power RNA N6-methyladenosine site yeast genome methylation computational biology deep learning bioinformatics hepatocellular carcinoma transcriptomics proteomics bioinformatics analysis differentiation Gene Ontology Reactome Pathways gene-set enrichment meta-analysis transcription factor binding sites genomics chilling stress CBF DREB CAMTA1 pathway text mining infiltration tactics optimization algorithm classification clustering microarray ensembles machine learning infiltration computational intelligence gene co-expression network murine coronavirus viral infection immune response data mining systems biology obesity differential genes expression exercise high-fat diet pathways potential therapeutic targets DNA N6-methyladenine Chou's 5-steps rule Convolution Neural Network (CNN) Long Short-Term Memory (LSTM) machine-learning chromatin interactions prediction genome architecture |
| 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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