Search results for "Genome scale"

showing 6 items of 6 documents

A multi-phase multi-objective dynamic genome-scale model shows different redox balancing among yeast species in fermentation

2021

ABSTRACTYeasts constitute over 1500 species with great potential for biotechnology. Still, the yeastSaccharomyces cerevisiaedominates industrial applications and many alternative physiological capabilities of lesser-known yeasts are not being fully exploited. While comparative genomics receives substantial attention, little is known about yeasts’ metabolic specificity in batch cultures. Here we propose a multi-phase multi-objective dynamic genome-scale model of yeast batch cultures that describes the uptake of carbon and nitrogen sources and the production of primary and secondary metabolites. The model integrates a specific metabolic reconstruction, based on the consensus Yeast8, and a kin…

Comparative genomicsbiologyChemistrySaccharomyces cerevisiaeGenome scaleFermentationBiochemical engineeringbiology.organism_classificationSaccharomycesRedoxYeastFlux balance analysis
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A MULTI-LAYER MODEL TO STUDY GENOME-SCALE POSITIONS OF NUCLEOSOMES

2007

The positioning of nucleosomes along chromatin has been implicated in the regulation of gene expression in eukaryotic cells, because packaging DNA into nucleosomes affects sequence accessibility. In this paper we propose a new model (called MLM) for the identification of nucleosomes and linker regions across DNA, consisting in a thresholding technique based on cut-set conditions. For this purpose we have defined a method to generate synthetic microarray data fully inspired from the approach that has been used by Yuan et al. Results have shown a good recognition rate on synthetic data, moreover, the $MLM$ shows a good agreement with the recently published method based on Hidden Markov Model …

Settore INF/01 - InformaticaComputer scienceMicroarray analysis techniquesSettore BIO/10 - BiochimicaGenome scaleNucleosomeComputational biologyMulti layerMulti Layer Method Nucleosome PositioningModelling and Simulation in Science
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Consistency Analysis of Genome-Scale Models of Bacterial Metabolism: A Metamodel Approach.

2015

Genome-scale metabolic models usually contain inconsistencies that manifest as blocked reactions and gap metabolites. With the purpose to detect recurrent inconsistencies in metabolic models, a large-scale analysis was performed using a previously published dataset of 130 genome-scale models. The results showed that a large number of reactions (~22%) are blocked in all the models where they are present. To unravel the nature of such inconsistencies a metamodel was construed by joining the 130 models in a single network. This metamodel was manually curated using the unconnected modules approach, and then, it was used as a reference network to perform a gap-filling on each individual genome-s…

MultidisciplinaryConsistency analysisBacteriaProcess (engineering)lcsh:RGenome scalelcsh:MedicineBiologycomputer.software_genreBioinformaticsModels BiologicalMetamodelingSet (abstract data type)Consistency (database systems)Bacterial ProteinsProof of conceptlcsh:QData miningMetagenomicsCompleteness (statistics)lcsh:SciencecomputerGenome BacterialMetabolic Networks and PathwaysResearch ArticlePLoS ONE
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Solving gap metabolites and blocked reactions in genome-scale models: application to the metabolic network of Blattabacterium cuenoti

2013

Abstract Background Metabolic reconstruction is the computational-based process that aims to elucidate the network of metabolites interconnected through reactions catalyzed by activities assigned to one or more genes. Reconstructed models may contain inconsistencies that appear as gap metabolites and blocked reactions. Although automatic methods for solving this problem have been previously developed, there are many situations where manual curation is still needed. Results We introduce a general definition of gap metabolite that allows its detection in a straightforward manner. Moreover, a method for the detection of Unconnected Modules, defined as isolated sets of blocked reactions connect…

BiologiaComputer scienceSystems biologyGenome scaleMetabolic networkGenomicsComputational biologyMicrobiologíaBacterisManual curationModels BiologicalStructural BiologyModelling and SimulationSymbiosisMolecular Biologybusiness.industryBacteroidetesApplied MathematicsBlattabacterium cuenotiGenomicsComputer Science ApplicationsMetabolic ModelModeling and SimulationBiomatemáticasArtificial intelligenceInsectosbusinessMetabolic Networks and PathwaysResearch Article
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Genome-scale analysis of evolutionary rate and selection in a fast-expanding Spanish cluster of HIV-1 subtype F1.

2018

Abstract This work is aimed at assessing the presence of positive selection and/or shifts of the evolutionary rate in a fast-expanding HIV-1 subtype F1 transmission cluster affecting men who have sex with men in Spain. We applied Bayesian coalescent phylogenetics and selection analyses to 23 full-coding region sequences from patients belonging to that cluster, along with other 19 F1 epidemiologically-unrelated sequences. A shift in the overall evolutionary rate of the virus, explained by positively selected sites in the cluster, was detected. We also found one substitution in Nef (H89F) that was specific to the cluster and experienced positive selection. These results suggest that fast tran…

0301 basic medicineMicrobiology (medical)GenotypeBayesian probabilityGenome scaleEpitopes T-LymphocyteHIV InfectionsGenome ViralBiologyDisease clusterMicrobiologyArticlelaw.inventionMen who have sex with menCoalescent theoryEvolution MolecularSubtype F103 medical and health sciencesSex FactorslawPhylogeneticsDatabases GeneticGeneticsHumansSelection GeneticSelectionMolecular BiologyAntigens ViralEcology Evolution Behavior and SystematicsSelection (genetic algorithm)PhylogenyRecombination GeneticGenomicsMen who have sex with men030104 developmental biologyInfectious DiseasesTransmission (mechanics)Evolutionary biologySpainHIV-1Transmission clusterInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
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A multi-phase multi-objective genome-scale model shows diverse redox balance strategies in yeasts

2021

Yeasts constitute over 1500 species with great potential for biotechnology. Still, the yeastSaccharomyces cerevisiaedominates industrial applications and many alternative physiological capabilities of lesser-known yeasts are not being fully exploited. While comparative genomics receives substantial attention, little is known about yeasts’ metabolic specificity in batch cultures. Here we propose a multi-phase multi-objective dynamic genome-scale model of yeast batch cultures that describes the uptake of carbon and nitrogen sources and the production of primary and secondary metabolites. The model integrates a specific metabolic reconstruction, based on the consensus Yeast8, and a kinetic mod…

Comparative genomicsFermentation in winemakingbiologyMulti phaseSaccharomyces cerevisiaeGenome scaleBiochemical engineeringbiology.organism_classificationRedoxYeastFlux balance analysis
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