Search results for "Databases"

showing 10 items of 937 documents

The positioning system of the ANTARES Neutrino Telescope

2012

The ANTARES neutrino telescope, located 40km off the coast of Toulon in the Mediterranean Sea at a mooring depth of about 2475m, consists of twelve detection lines equipped typically with 25 storeys. Every storey carries three optical modules that detect Cherenkov light induced by charged secondary particles (typically muons) coming from neutrino interactions. As these lines are flexible structures fixed to the sea bed and held taut by a buoy, sea currents cause the lines to move and the storeys to rotate. The knowledge of the position of the optical modules with a precision better than 10cm is essential for a good reconstruction of particle tracks. In this paper the ANTARES positioning sys…

Positioning systemDetector control systems (detector and experiment monitoring and slow-control systems architecture hardware algorithms databases)Detector modelling and simulations II (electric fieldsDetector alignment and calibration methods (lasers sources particle-beams)01 natural sciencesTiming detectorshardwareDetector alignment and calibration methods010303 astronomy & astrophysicsInstrumentationDETECTOR ALIGMENTMathematical PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsSOUND[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]Orientation (computer vision)[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]DetectorAstrophysics::Instrumentation and Methods for AstrophysicsTriangulation (computer vision)particle-beams)GeodesyDETECTOR CONTROL SYSTEMDetector modelling and simulations II (electric fields charge transport multiplication and induction pulse formation electron emission etc)Física nuclearNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical Phenomenadatabases)sources[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]pulse formationarchitecture[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Astrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesddc:500.2DETECTOR MODELLING AND SIMULATIONSDetector modelling and simulations IIalgorithmsPhysics::Geophysics0103 physical sciences14. Life underwaterInstrumentation and Methods for Astrophysics (astro-ph.IM)Cherenkov radiationetc)multiplication and inductionBuoyDetector control systems010308 nuclear & particles physicsDetector control systems (detector and experiment monitoring and slow-control systemsMooringcharge transport[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Detector alignment and calibration methods (laserselectron emissionFISICA APLICADAdetector modelling and simulations ii (electric fields; antares neutrino telescope; multiplication and induction; charge transport; pulse formation; electron emission; etc); hardware; architecture; timing detectors; detector control systems (detector and experiment monitoring and slow-control systems; algorithms; databases); sources; detector alignment; calibration.; acoustic positioning; detector alignment and calibration methods (lasers; particle-beams)
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Process specification and verification

1996

Graph grammars provide a very convenient specification tool for distributed systems of processes. This paper addresses the problem how properties of such specifications can be proven. It shows a connection between algebraic graph rewrite rules and temporal (trace) logic via the graph expressions of [2]. Statements concerning the global behavior can be checked by local reasoning.

Predicate logicGraph rewritingWait-for graphTheoretical computer scienceComputer scienceProgramming languagecomputer.software_genreLanguage Of Temporal Ordering SpecificationRule-based machine translationGraph (abstract data type)Temporal logicAlgebraic numbercomputerComputer Science::Databases
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Comparative evaluation of three semi-quantitative radiographic grading techniques for knee osteoarthritis in terms of validity and reproducibility in…

2008

OBJECTIVE: The objective of this work was to compare the measurement properties of three categorical X-ray scoring methods of knee osteoarthritis (OA), both on semiflexed and extended views. METHODS: In data obtained from trials and cohorts, X-rays were graded using Kellgren and Lawrence (KL), the OA Research Society International (OARSI) joint space narrowing score, and measurement of joint space width (JSW). JSW was analyzed as a categorical variable. Construct validity was assessed through logistic regression between X-ray stages and Western Ontario and McMaster Universities OA Index. Inter-observer reliability was assessed in 50 subjects for extended views by weighted kappa. Intra-obser…

Predictive validitymedicine.medical_specialtyDatabases FactualKnee JointPsychometricsJoint replacementmedicine.medical_treatmentBiomedical EngineeringLogistic regressionSeverity of Illness IndexValidity03 medical and health sciences0302 clinical medicineRheumatologyOsteoarthritismedicineHumansOrthopedics and Sports MedicineKneeCategorical variableObserver Variation030203 arthritis & rheumatology030222 orthopedicsProgressionbusiness.industryReproducibility of ResultsConstruct validityIntra-rater reliabilityOsteoarthritis KneeReproducibilityRadiographyInter-rater reliabilityDisease ProgressionPhysical therapybusinessKappa
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Centrality in primate-parasite networks reveals the potential for the transmission of emerging infectious diseases to humans

2013

We thank Randi Griffin, Amy Pedersen, Rosa Menendez, Mark Lineham, and two anonymous reviewers for discussion and comments on a previous draft. This work was funded by the Spanish Ministry of Science (J.M.G. and M.V.), by the Junta de Andalucia (J.M.G.), and by National Science Foundation Grants DEB-0211908 and EF-0723939/0904359 (C.L.N.).

Primates0106 biological sciencesDatabases FactualEpidemiologyParasitic Diseases AnimalParasitismCommunicable Diseases EmergingModels Biological010603 evolutionary biology01 natural sciences03 medical and health sciencesbiology.animalAnimalsHumansParasite hostingParasitesPrimate030304 developmental biologyPopulation Density0303 health sciencesMultidisciplinaryGeographyPhylogenetic treebiologyEcologyTransmission (medicine)Host (biology)BiodiversityBiological Sciences3. Good healthEcological networkEvolutionary biologyCommunicable Disease ControlMultivariate AnalysisEcological networksCentralityAlgorithms
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Multivariate denoising methods combining wavelets and principal component analysis for mass spectrometry data

2010

The identification of new diagnostic or prognostic biomarkers is one of the main aims of clinical cancer research. In recent years, there has been a growing interest in using mass spectrometry for the detection of such biomarkers. The MS signal resulting from MALDI-TOF measurements is contaminated by different sources of technical variations that can be removed by a prior pre-processing step. In particular, denoising makes it possible to remove the random noise contained in the signal. Wavelet methodology associated with thresholding is usually used for this purpose. In this study, we adapted two multivariate denoising methods that combine wavelets and PCA to MS data. The objective was to o…

Principal Component AnalysisMultivariate statisticsbusiness.industryComputer scienceDimensionality reductionNoise reductionClinical BiochemistryAnalytical chemistryReproducibility of ResultsPattern recognitionBiochemistrySignalThresholdingMass SpectrometryIdentification (information)WaveletMultivariate AnalysisPrincipal component analysisHumansArtificial intelligenceDatabases ProteinbusinessMolecular BiologyPROTEOMICS
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A Approach to Clinical Proteomics Data Quality Control and Import

2011

International audience; Biomedical domain and proteomics in particular are faced with an increasing volume of data. The heterogeneity of data sources implies heterogeneity in the representation and in the content of data. Data may also be incorrect, implicate errors and can compromise the analysis of experiments results. Our approach aims to ensure the initial quality of data during import into an information system dedicated to proteomics. It is based on the joint use of models, which represent the system sources, and ontologies, which are use as mediators between them. The controls, we propose, ensure the validity of values, semantics and data consistency during import process.

Process (engineering)Computer sciencemedia_common.quotation_subject02 engineering and technologyOntology (information science)Proteomicscomputer.software_genreDomain (software engineering)03 medical and health sciences020204 information systems[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM]0202 electrical engineering electronic engineering information engineeringInformation systemQuality (business)[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]030304 developmental biologymedia_common0303 health sciences[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Data science[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Data qualityData mining[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]computer
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Multi-output Model with Box-Jenkins Operators of Quadratic Indices for Prediction of Malaria and Cancer Inhibitors Targeting Ubiquitin- Proteasome Pa…

2016

The ubiquitin-proteasome pathway (UPP) is the primary degradation system of short-lived regulatory proteins. Cellular processes such as the cell cycle, signal transduction, gene expression, DNA repair and apoptosis are regulated by this UPP and dysfunctions in this system have important implications in the development of cancer, neurodegenerative, cardiac and other human pathologies. UPP seems also to be very important in the function of eukaryote cells of the human parasites like Plasmodium falciparum, the causal agent of the neglected disease Malaria. Hence, the UPP could be considered as an attractive target for the development of compounds with Anti-Malarial or Anti-cancer properties. R…

Proteasome Endopeptidase ComplexDNA repairDatabases PharmaceuticalAntineoplastic AgentsComputational biologyBioinformatics01 natural sciencesBiochemistryAntimalarialsUbiquitinNeoplasmsDrug DiscoveryHumansMolecular Targeted TherapyMolecular BiologybiologyDrug discoveryUbiquitinComputational BiologyCell BiologyGeneral MedicineCell cyclechEMBL0104 chemical sciencesMalaria010404 medicinal & biomolecular chemistryProteasomeProteolysisbiology.proteinSignal transductionFunction (biology)Current proteinpeptide science
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Disentangling the complexity of low complexity proteins

2020

Abstract There are multiple definitions for low complexity regions (LCRs) in protein sequences, with all of them broadly considering LCRs as regions with fewer amino acid types compared to an average composition. Following this view, LCRs can also be defined as regions showing composition bias. In this critical review, we focus on the definition of sequence complexity of LCRs and their connection with structure. We present statistics and methodological approaches that measure low complexity (LC) and related sequence properties. Composition bias is often associated with LC and disorder, but repeats, while compositionally biased, might also induce ordered structures. We illustrate this dichot…

Protein ConformationComputer scienceReview ArticleComputational biologyMeasure (mathematics)Evolution MolecularLow complexity03 medical and health sciencesProtein DomainsAmino Acid Sequencestructure[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biochemistry [q-bio.BM]Databases ProteinMolecular Biology030304 developmental biologyStructure (mathematical logic)0303 health sciencesSequence[SCCO.NEUR]Cognitive science/Neurosciencecomposition bias030302 biochemistry & molecular biologyProteinsdisorderlow complexity regionsStructure and function[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]AlgorithmsInformation SystemsBriefings in Bioinformatics
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Evolutionary and structural analyses of GDAP1, involved in Charcot-Marie-Tooth disease, characterize a novel class of glutathione transferase-related…

2003

Mutations in the Ganglioside-induced differentiation-associated protein-1 (GDAP1) gene cause autosomal recessive Charcot-Marie-Tooth disease type 4A. The protein encoded by GDAP1 shows clear similarity to glutathione transferases (also known as glutathione S-transferases or GSTs). The human genome contains a paralog of GDAP1 called GDAP1L1. Using comparative genomics, we show that orthologs of GDAP1 and GDAP1L1 are found in mammals, birds, amphibians, and fishes. Likely orthologs of those genes in invertebrates and a low but consistent similarity with some plant and eubacterial genes have also been found. We demonstrate that GDAP1 and GDAP1L1 do not belong to any of the known classes of GST…

Protein ConformationMolecular Sequence DataSequence alignmentNerve Tissue ProteinsBiologyEvolution MolecularProtein structurePhylogeneticsCharcot-Marie-Tooth DiseaseDatabases GeneticGeneticsCluster AnalysisHumansAmino Acid SequenceMolecular BiologyPeptide sequenceGeneEcology Evolution Behavior and SystematicsPhylogenyGlutathione TransferaseComparative genomicsGeneticsTransmembrane domainMultigene FamilyHuman genomeSequence AlignmentMolecular biology and evolution
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A Stevedore's protein knot.

2009

Protein knots, mostly regarded as intriguing oddities, are gradually being recognized as significant structural motifs. Seven distinctly knotted folds have already been identified. It is by and large unclear how these exceptional structures actually fold, and only recently, experiments and simulations have begun to shed some light on this issue. In checking the new protein structures submitted to the Protein Data Bank, we encountered the most complex and the smallest knots to date: A recently uncovered α-haloacid dehalogenase structure contains a knot with six crossings, a so-called Stevedore knot, in a projection onto a plane. The smallest protein knot is present in an as yet unclassified …

Protein FoldingHydrolasesProtein ConformationComputational Biology/Macromolecular Structure Analysis02 engineering and technologyBiologyMolecular Dynamics SimulationComputational Biology/Molecular DynamicsCombinatorics03 medical and health sciencesCellular and Molecular NeuroscienceKnot (unit)Protein structureGeneticsStructural motifDatabases ProteinMolecular Biologylcsh:QH301-705.5Ecology Evolution Behavior and Systematics030304 developmental biology0303 health sciencesTopological complexityQuantitative Biology::BiomoleculesEcologycomputer.file_format021001 nanoscience & nanotechnologyProtein Data BankMathematics::Geometric TopologyComputational Theory and MathematicsBiochemistrylcsh:Biology (General)Modeling and SimulationProtein foldingStevedore knot0210 nano-technologySingle loopcomputerResearch ArticlePLoS Computational Biology
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