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Systems Analytics and Integration of Big Omics Data

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ISBN: 9783039287444 / 9783039287451 Year: Pages: 202 DOI: 10.3390/books978-3-03928-745-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Therapeutics
Added to DOAB on : 2020-06-09 16:38:57
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Abstract

A “genotype"" is essentially an organism's full hereditary information which is obtained from its parents. A ""phenotype"" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not up to the task. Challenges arise in collection, analysis, mining, sharing, transfer, visualization, archiving, and integration of these data. In this Special Issue, there is a focus on the systems-level analysis of Omics data, recent developments in gene ontology annotation, and advances in biological pathways and network biology. The integration of Omics data with clinical and biomedical data using machine learning is explored. This Special Issue covers new methodologies in the context of gene–environment interactions, tissue-specific gene expression, and how external factors or host genetics impact the microbiome.

Keywords

tissue-specific expressed genes --- transcriptome --- tissue classification --- support vector machine --- feature selection --- bioinformatics pipelines --- algorithm development for network integration --- miRNA–gene expression networks --- multiomics integration --- network topology analysis --- candidate genes --- gene–environment interactions --- logic forest --- systemic lupus erythematosus --- Gene Ontology --- KEGG pathways --- enrichment analysis --- proteomic analysis --- plot visualization --- Alzheimer’s disease --- dementia --- cognitive impairment --- neurodegeneration --- Gene Ontology --- annotation --- biocuration --- amyloid-beta --- microtubule-associated protein tau --- artificial intelligence --- genotype --- phenotype --- deep phenotype --- data integration --- genomics --- phenomics --- precision medicine informatics --- epigenetics --- chromatin modification --- sequencing --- regulatory genomics --- disease variants --- machine learning --- multi-omics --- data integration --- curse of dimensionality --- heterogeneous data --- missing data --- class imbalance --- scalability --- genomics --- pharmacogenomics --- cell lines --- database --- drug sensitivity --- data integration --- omics data --- genomics --- RNA expression --- non-omics data --- clinical data --- epidemiological data --- challenges --- integrative analytics --- joint modeling --- multivariate analysis --- multivariate causal mediation --- distance correlation --- direct effect --- indirect effect --- causal inference --- n/a

Synthetic DNA and RNA Programming

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ISBN: 9783039217342 9783039217359 Year: Pages: 188 DOI: 10.3390/books978-3-03921-735-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology
Added to DOAB on : 2019-12-09 11:49:16
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Dear Colleagues, Synthetic biology is a broad and emerging discipline that capitalizes on recent advances in molecular biology, genetics, protein and RNA engineering and omics technologies. These technologies have transformed our ability to reveal the biology of the cell and the molecular basis of disease.

Keywords

fluorescent reporter --- live cell imaging --- microRNA quantification --- optogenetics --- small molecule drug screening --- Escherichia coli --- recombinant protein production --- gene overexpression --- growth effect --- ASKA collection --- codon bias --- branched-chain amino acids --- gene ontology --- genetic code expansion --- protein kinase B --- phosphoinositide dependent kinase 1 --- phosphoseryl-tRNA synthetase --- tRNASep --- alanyl-tRNA synthetase --- class II aminoacyl-tRNA synthetase --- expanded genetic code --- lysine acetylation --- posttranslational modification --- genetic code expansion --- transfer RNA --- synthetic biology --- non-canonical amino acids --- selenocysteine --- genetic code expansion --- release factor 1 --- amber stop codon suppression --- M. jannaschii orthogonal pair --- fluorescence-based screen --- cyclic peptides --- biopharmaceuticals --- mRNA display --- yeast two hybrid --- tRNASer --- mistranslation --- anticodon --- functional conservation --- alternative amino acid and nucleotide repertoires --- alternative core cellular chemistries --- biocontainment --- genetic firewall --- genetic isolation --- orthogonal central dogma of molecular biology --- synthetic life --- xenobiology --- genome engineering --- synthetic biology --- yeasts --- Metschnikowia --- genetic tools --- DNA delivery --- CUG-Ser --- reverse polymerization --- tRNA editing --- tRNA repair --- protein engineering --- synthetic biology --- tRNA --- misacylation --- indirect tRNA aminoacylation --- AspRS --- GluRS-like --- genetic code expansion --- genome synthesis --- genome editing --- microRNA --- protein modification --- RNA metabolism --- tRNA --- synthetic biology --- unnatural amino acids --- unnatural nucleotides

Plant Proteomic Research 2.0

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ISBN: 9783039210626 9783039210633 Year: Pages: 594 DOI: 10.3390/books978-3-03921-063-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Plant Sciences
Added to DOAB on : 2019-06-26 08:44:07
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Advancements in high-throughput “Omics” techniques have revolutionized plant molecular biology research. Proteomics offers one of the best options for the functional analysis of translated regions of the genome, generating a wealth of detailed information regarding the intrinsic mechanisms of plant stress responses. Various proteomic approaches are being exploited extensively for elucidating master regulator proteins which play key roles in stress perception and signaling, and these approaches largely involve gel-based and gel-free techniques, including both label-based and label-free protein quantification. Furthermore, post-translational modifications, subcellular localization, and protein–protein interactions provide deeper insight into protein molecular function. Their diverse applications contribute to the revelation of new insights into plant molecular responses to various biotic and abiotic stressors.

Keywords

Phalaenopsis --- petal --- pollination --- senescence --- 2-DE --- ROS --- Medicago sativa --- leaf cell wall proteome --- cadmium --- quantitative proteomics --- 2D DIGE --- chloroplast --- elevated CO2 --- heat stress --- nucleotide pyrophosphatase/phosphodiesterase --- (phospho)-proteomics --- photosynthesis --- protein phosphorylation --- 14-3-3 proteins --- Oryza sativa L. --- starch --- sucrose --- N utilization efficiency --- proteomics --- 2D --- protein phosphatase --- rice isogenic line --- SnRK1 --- 14-3-3 --- lettuce --- bolting --- proteome --- high temperature --- iTRAQ --- proteome profiling --- iTRAQ --- differentially abundant proteins (DAPs) --- drought stress --- physiological responses --- Zea mays L. --- GS3 --- ? subunit --- heterotrimeric G protein --- mass spectrometric analysis --- RGG3 --- rice --- western blotting --- Dn1-1 --- ?-subunit --- heterotrimeric G protein --- mass spectrometry analysis --- RGG4 --- rice --- western blotting --- Clematis terniflora DC. --- polyphenol oxidase --- virus induced gene silencing --- photosynthesis --- glycolysis --- Camellia sinensis --- chlorotic mutation --- chlorophyll deficiency --- weakening of carbon metabolism --- iTRAQ --- proteomics --- degradome --- wheat --- cultivar --- protease --- papain-like cysteine protease (PLCP) --- subtilase --- metacaspase --- caspase-like --- wheat leaf rust --- Puccinia recondita --- Stagonospora nodorum --- iTRAQ --- proteomics --- somatic embryogenesis --- pyruvate biosynthesis --- Zea mays --- chlorophylls --- LC-MS-based proteomics --- pea (Pisum sativum L.) --- proteome functional annotation --- proteome map --- seeds --- seed proteomics --- late blight disease --- potato proteomics --- Phytophthora infestans --- Sarpo Mira --- early and late disease stages --- Simmondsia chinensis --- cold stress --- proteomics --- leaf --- iTRAQ --- Ricinus communis L. --- cold stress --- seed imbibition --- iTRAQ --- proteomics --- Morus --- organ --- gel-free/label-free proteomics --- flavonoid --- antioxidant activity --- phosphoproteome --- barley --- seed dormancy --- germination --- imbibition --- after-ripening --- sugarcane --- Sporisorium scitamineum --- smut --- proteomics --- RT-qPCR --- ISR --- holm oak --- Quercus ilex --- 2-DE proteomics --- shotgun proteomics --- non-orthodox seed --- population variability --- stresses responses --- ammonium --- Arabidopsis thaliana --- carbon metabolism --- nitrogen metabolism --- nitrate --- proteomics --- root --- secondary metabolism --- proteomics --- wheat --- silver nanoparticles --- plant pathogenesis responses --- data-independent acquisition --- quantitative proteomics --- Pseudomonas syringae --- sweet potato plants infected by SPFMV --- SPV2 and SPVG --- sweet potato plants non-infected by SPFMV --- SPV2 and SPVG --- co-infection --- transcriptome profiling --- gene ontology --- pathway analysis --- lesion mimic mutant --- leaf spot --- phenylpropanoid biosynthesis --- proteomics --- isobaric tags for relative and absolute quantitation (iTRAQ) --- rice --- affinity chromatography --- ergosterol --- fungal perception --- innate immunity --- pattern recognition receptors --- plasma membrane --- proteomics --- proteomics --- maize --- plant-derived smoke --- shoot --- Solanum tuberosum --- patatin --- seed storage proteins --- vegetative storage proteins --- tuber phosphoproteome --- targeted two-dimensional electrophoresis --- B. acuminata petals --- MALDI-TOF/TOF --- GC-TOF-MS --- qRT-PCR --- differential proteins --- n/a

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2020 (1)

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