Search results for "Computer science"

showing 10 items of 22367 documents

Reconstruction and analysis of genome-scale metabolic model of a photosynthetic bacterium

2010

Abstract Background Synechocystis sp. PCC6803 is a cyanobacterium considered as a candidate photo-biological production platform - an attractive cell factory capable of using CO2 and light as carbon and energy source, respectively. In order to enable efficient use of metabolic potential of Synechocystis sp. PCC6803, it is of importance to develop tools for uncovering stoichiometric and regulatory principles in the Synechocystis metabolic network. Results We report the most comprehensive metabolic model of Synechocystis sp. PCC6803 available, iSyn669, which includes 882 reactions, associated with 669 genes, and 790 metabolites. The model includes a detailed biomass equation which encompasses…

0106 biological sciencesSystems biologyIn silicoMetabolic networkComputational biologyBiologyModels Biological01 natural sciencesMetabolic engineeringGene Knockout Techniques03 medical and health sciencesStructural BiologyModelling and Simulation010608 biotechnologyBotanyBiomassPhotosynthesislcsh:QH301-705.5Molecular Biology030304 developmental biologyAutotrophic Processes0303 health sciencesGene Expression ProfilingApplied MathematicsSynechocystisSynechocystisGenomicsDarknessbiology.organism_classificationComputer Science ApplicationsFlux balance analysislcsh:Biology (General)Genes BacterialAutotrophic ProcessesModeling and SimulationEnergy sourceGenome BacterialResearch ArticleBMC Systems Biology
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Genome sequence of the pea aphid Acyrthosiphon pisum

2010

The genome of the pea aphid shows remarkable levels of gene duplication and equally remarkable gene absences that shed light on aspects of aphid biology, most especially its symbiosis with Buchnera.

0106 biological sciencesTANDEM REPEATSGenome InsectGene TransferRRES175Sequència genòmicaFaculty of Science\Computer ScienceCPG METHYLATION01 natural sciencesGenomeMedical and Health SciencesInternational Aphid Genomics ConsortiumBiologiska vetenskaperBiology (General)GENE-EXPRESSION2. Zero hungerGenetics0303 health sciencesAphidGenomeAfídidsGeneral NeuroscienceGENOME SEQUENCEfood and beveragesDROSOPHILA CIRCADIAN CLOCKBiological SciencesGenetics and Genomics/Microbial Evolution and GenomicsINSECTEGenètica microbianapuceronAPIS-MELLIFERAGeneral Agricultural and Biological SciencesInfectionsymbioseBiotechnologyResearch ArticleVIRUS VECTORING175_GeneticsSYMBIOTIC BACTERIAGene Transfer HorizontalQH301-705.5ACYRTHOSIPHON PISUMBiologyHOLOMETABOLOUS INSECTSHOST-PLANT010603 evolutionary biologyGENOME SEQUENCE;PEA APHID;ACYRTHOSIPHON PISUM;INSECT-PLANT;HOST-PLANT;VIRUS VECTORING;PHENOTYPIC PLASTICITY;HOLOMETABOLOUS INSECTS;INSECTE;RAVAGEUR DES CULTURES; SOCIAL INSECTGeneral Biochemistry Genetics and Molecular BiologyHorizontal03 medical and health sciencesBuchneraPHENOTYPIC PLASTICITYINSECT-PLANTGeneticsGene familyLife ScienceAnimalsSymbiosisGene030304 developmental biologyWhole genome sequencingGeneral Immunology and MicrobiologyAnnotation; Aphid; Genome sequenceAgricultural and Veterinary Sciences175_EntomologyGenètica animalBacteriocytegénomegèneHuman GenomePEA APHIDBiology and Life Sciences15. Life on landbiochemical phenomena metabolism and nutritionbiology.organism_classificationREPETITIVE ELEMENTSDNA-SEQUENCESAcyrthosiphon pisumGenome SequenceGenetics and Genomics/Genome ProjectsRAVAGEUR DES CULTURESAphidsPHEROMONE-BINDINGBuchneraInsectDevelopmental Biology[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Null models for animal social network analysis and data collected via focal sampling: Pre‐network or node network permutation?

2020

In social networks analysis, two different approaches have predominated in creating null models for hypothesis testing, namely pre‐network and node network permutation approaches. Although the pre‐network permutation approach appears more advantageous, its use has mainly been restricted to data on associations and sampling methods such as ‘group follows’. The pre‐network permutation approach has recently been adapted to data on interactions and the focal sampling method, but its performance in different scenarios has not been thoroughly explored. Here, we assessed the performance of the pre‐network and node network permutation approach in several simulated scenarios based on proneness to fa…

0106 biological sciencesTheoretical computer scienceComputer scienceEcological Modeling05 social sciencesNull (mathematics)Social network analysis (criminology)Sampling (statistics)Group living010603 evolutionary biology01 natural sciences[SHS]Humanities and Social SciencesPermutationSciences du Vivant [q-bio]/Autre [q-bio.OT]0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyEcology Evolution Behavior and SystematicsComputingMilieux_MISCELLANEOUSVDP::Samfunnsvitenskap: 200::Urbanisme og fysisk planlegging: 230
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Reducing waste and ecological impacts through a sustainable and efficient management of perishable food based on the Monte Carlo simulation

2019

Abstract In today’s competitive global market it is mandatory to improve warehousing operations integrating economic, environmental and social aspects. The recent advancement in monitoring technologies can greatly improve the performance of the food supply chain reducing product loss. In particular, in the perishable food supply chain, initially inventory operations are critical because they manage the material flows in very variable conditions. The deterioration level of the products as well as the market demand are the main factors that can influence warehouse strategy. This research aims to consider the application of sustainability principles in the context of warehouse storage, evaluat…

0106 biological sciencesTraceabilityComputer scienceSupply chainGeneral Decision SciencesContext (language use)010501 environmental sciences010603 evolutionary biology01 natural sciencesWarehouse managementSupply and demandSettore ING-IND/17 - Impianti Industriali MeccaniciMonte Carlo simulationEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEcologyEcological impacts Food waste reduction Monte Carlo simulation Shelf life model Sustainability Warehouse managementEnvironmental economicsEcological impactWarehouseProduct (business)SustainabilitySustainabilityShelf life modelCarbon footprintEcological impacts; Food waste reduction; Monte Carlo simulation; Shelf life model; Sustainability; Warehouse managementFood waste reductionEcological Indicators
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Combining spatial prioritization and expert knowledge facilitates effectiveness of large-scale mire protection process in Finland

2019

Conservation resource allocation involves a complex set of considerations including species, habitats, connectivity, local to global biodiversity objectives, alternative protection and restoration actions, while requiring cost-efficiency and effective implementation. We present a national scale spatial conservation prioritization analysis for complementing the network of protected mires in Finland. We show how spatial prioritization coupled with regional targets and expert knowledge can facilitate structured decision-making. In our application, discussion between experts was structured around the prioritization model enabling integration of quantitative analysis with expert knowledge. The u…

0106 biological sciencesTrade-offsProcess (engineering)Computer science010604 marine biology & hydrobiologyScale (chemistry)MiresRestoration prioritization15. Life on land010603 evolutionary biology01 natural sciencesUnit (housing)Quantitative analysis (finance)13. Climate actionImplementationKey (cryptography)Expert knowledgeResource allocationSpatial prioritizationKnowledge transferEnvironmental planningEcology Evolution Behavior and Systematics1172 Environmental sciencesNature and Landscape ConservationGlobal biodiversity
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Humusica 1, article 1: Essential bases – Vocabulary

2018

International audience; The Special Issue Humusica 1 corresponds to a field guide for the classification of terrestrial humus systems and forms. The present first article of the issue defines vocabulary, objects and concepts necessary for: (a) field investigation, (b) understanding the process of classification, (c) assigning ecological significance to the defined morpho-functional units, (d) discussing and exchanging scientific data about humus systems. The article starts with general considerations, as the necessity humans have to classify natural objects for sharing ideas and information on them. Then the article focuses on soil as functional element of every ecosystem. Historical and re…

0106 biological sciencesVocabularyComputer scienceProcess (engineering)media_common.quotation_subjectSoil Science[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study010603 evolutionary biology01 natural sciencesHumusHumus Humusica Humus form classification Humus system Humus vocabulary Soil classification Soil conceptSoil concept ABSTRACT[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsSoil classificationSoil conceptNatural (music)Humus vocabularymedia_common2. Zero hungerHumus form classificationTopsoilEcologyEcology04 agricultural and veterinary sciences15. Life on landAgricultural and Biological Sciences (miscellaneous)HumusField (geography)EpistemologyVariety (cybernetics)040103 agronomy & agricultureHumusica0401 agriculture forestry and fisheriesSoil horizon[SDE.BE]Environmental Sciences/Biodiversity and EcologyHumus system
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Satellite survey of seasonal trophic status and occasional anoxic 'malaigue' crises in the Thau lagoon using MERIS images

2011

International audience; The Thau lagoon, located in southern France, suffers episodically from anoxic crises locally known as 'malaigue'. Such crises mostly occur under warm conditions, low winds leading to a strong eutrophication of the lagoon. The development of a sulphur bacterium sometimes gives locally to the waters a 'milky turquoise' appearance and leads to shellfish mortality. One of the indicators of the eutrophication status of the lagoon can be surveyed by the chlorophyll product provided by remote sensing images such as Medium Resolution Imaging Spectrometer (MERIS). In this paper we compare chl2 (or algal2) estimations provided by MERIS level 2 products and the ground measureme…

0106 biological sciences[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing010504 meteorology & atmospheric sciencesEcology[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing010604 marine biology & hydrobiology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesAnoxic waters6. Clean waterMedium resolutionOceanography[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing13. Climate actionGeneral Earth and Planetary SciencesEnvironmental scienceSatellite14. Life underwaterEutrophication[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing0105 earth and related environmental sciencesTrophic level[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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GenExP, un logiciel simulateur de paysages agricoles pour l'étude de la diffusion de transgènes

2007

 ; The software GENEXP allows to simulate 2-dimensional agricultural landscapes by using a traditional algorithmic geometry. Based on real or realistic field-patterns, GENEXP provides multiannual maps of agricultural landscapes, which are used by softwares simulating the dispersal of GM pollen grains and seeds at various scales.; GENEXP est un simulateur de paysages agricoles qui engendre des découpages parcellaires en utilisant une géométrie algorithmique classique. GENEXP fournit, sur la base de parcellaires réels ou réalistes, des cartes pluriannuelles de paysages agricoles utilisables par des logiciels qui simulent la dispersion des pollens et des graines d'OGM à différentes échelles.

0106 biological sciences[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]010603 evolutionary biology01 natural sciencesVORONOÏ TESSELATION[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentAGRICULTURAL LANDSCAPE[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]diagrammes de Voronoi[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]DIAGRAMMES DE VORONOÏpaysage agricole[SDV.EE]Life Sciences [q-bio]/Ecology environmentFIELD PATTERN[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]voronoi tesselationPROCESSUS PONCTUEL MARKOVIEN04 agricultural and veterinary sciencesGeneral Medicineflux de genes15. Life on landsimulationPARCELLAIRE[SDV.EE] Life Sciences [q-bio]/Ecology environmentagricultural landscape field-pattern germs distribution markov point process gene flowpaysage agricole parcellaire simulation diagrammes de Voronoi distribution de germes processus ponctuel markovien flux de genes voronoi tesselation INFORMATIQUEGERMS DISTRIBUTIONINFORMATIQUE040103 agronomy & agricultureMARKOV POINT PROCESS0401 agriculture forestry and fisheriesfield-patterngene flowDISTRIBUTION DE GERMES
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Protocol for the Definition of a Multi-Spectral Sensor for Specific Foliar Disease Detection: Case of “Flavescence Dorée”

2018

Flavescence Doree (FD) is a contagious and incurable grapevine disease that can be perceived on leaves. In order to contain its spread, the regulations obligate winegrowers to control each plant and to remove the suspected ones. Nevertheless, this monitoring is performed during the harvest and mobilizes many people during a strategic period for viticulture. To solve this problem, we aim to develop a Multi-Spectral (MS) imaging device ensuring an automated grapevine disease detection solution. If embedded on a UAV, the tool can provide disease outbreaks locations in a geographical information system allowing localized and direct treatment of infected vines. The high-resolution MS camera aims…

0106 biological sciences[SDE] Environmental SciencesDisease detectionComputer science[SDV]Life Sciences [q-bio]Multispectral imageradiometric/geometric correctionsFeature selectionMulti spectral01 natural sciencesfeature selection[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologytexture analysisProtocol (science)Artificial neural networkbusiness.industrymultispectral sensorOutbreakPattern recognition04 agricultural and veterinary sciencesFlavescence Dorée3. Good health[SDV] Life Sciences [q-bio]Identification (information)classification[SDE]Environmental Sciences040103 agronomy & agriculture0401 agriculture forestry and fisheriesFlavescence doréeArtificial intelligencebusiness010606 plant biology & botany
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Medium-size droplets of methyl ricinoleate are reduced by cell-surface activity in the gamma-decalactone production by Yarrowia lipolytica.

2000

International audience; Size of methyl ricinoleate droplets during biotransformation into gamma-decalactone by Yarrowia lipolytica was measured in both homogenized and non-homogenized media. In non-homogenized but shaken medium, droplets had an average volume surface diameter d32 of 2.5 microm whereas it was 0.7 microm in homogenized and shaken medium. But as soon as yeast cells were inoculated, both diameters became similar at about 0.7 microm and did not vary significantly until the end of the culture. The growth of Y. lipolytica in both media was very similar except for the lag phase which was lowered in homogenized medium conditions.

0106 biological sciences[SDV.BIO]Life Sciences [q-bio]/BiotechnologyTime FactorsCell01 natural sciencesApplied Microbiology and BiotechnologyLactonesBiotransformationMESH : Particle SizeYeastsMESH: Microscopy Confocal[INFO.INFO-BT]Computer Science [cs]/BiotechnologyComputingMilieux_MISCELLANEOUSBiotransformation0303 health sciencesMicroscopyMicroscopy ConfocalbiologyMESH: YeastsMESH : Lactones[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitologymedicine.anatomical_structureBiochemistryConfocalSURFACE ACTIVERicinoleic Acids[ INFO.INFO-BT ] Computer Science [cs]/BiotechnologyMESH: LactonesMESH : Time Factors03 medical and health sciencesMESH : Biotransformation010608 biotechnologymedicine[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular Biology[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyMESH: Particle SizeParticle SizeMESH : Microscopy Confocal[ SDV.BBM ] Life Sciences [q-bio]/Biochemistry Molecular BiologyMethyl ricinoleateMESH: BiotransformationMESH : YeastsChromatography030306 microbiologyMESH: Time Factors[ SDV.BIO ] Life Sciences [q-bio]/BiotechnologyYarrowiabiology.organism_classificationYeastMESH: Ricinoleic AcidsCulture Media[SDV.BIO] Life Sciences [q-bio]/Biotechnology[INFO.INFO-BT] Computer Science [cs]/BiotechnologyMESH : Ricinoleic AcidsMESH: Culture MediaMESH : Culture Media
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