Search results for "informatics"

showing 10 items of 2542 documents

Kondrat'eva ligation: Diels-Alder-based irreversible reaction for bioconjugation.

2014

International audience; Diversification of existing chemoselective ligations is required to efficiently access complex and well-defined biomolecular assemblies with unique and valuable properties. The development and bioconjugation applications of a novel Diels-Alder-based irreversible site-specific ligation are reported. The strategy is based on a Kondrat'eva cycloaddition between bioinert and readily functionalizable 5-alkoxyoxazoles and maleimides that readily react together under mild and easily tunable reaction conditions to afford a fully stable pyridine scaffold. The potential of this novel bioconjugation is demonstrated through the preparation of fluorescent conjugates of biomolecul…

[CHIM.THER]Chemical Sciences/Medicinal ChemistryLigandsCatalysis[CHIM.ANAL]Chemical Sciences/Analytical chemistryFluorescence Resonance Energy TransferOrganic chemistryNuclear Magnetic Resonance BiomolecularOxazoleschemistry.chemical_classificationBioconjugationCycloaddition ReactionMolecular Structure[CHIM.ORGA]Chemical Sciences/Organic chemistryChemistryBiomoleculeOrganic Chemistry[CHIM.CATA]Chemical Sciences/CatalysisFluorescenceUrokinase-Type Plasminogen ActivatorCycloaddition[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistryEnzyme ActivationFörster resonance energy transferLigationPlasminogen activator[CHIM.CHEM]Chemical Sciences/CheminformaticsConjugateThe Journal of organic chemistry
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Optimisation et implémentation de méthodes bio-inspirées d'extraction de caractéristiques pour la reconnaissance d'objets visuels

2016

Industry has growing needs for so-called “intelligent systems”, capable of not only ac-quire data, but also to analyse it and to make decisions accordingly. Such systems areparticularly useful for video-surveillance, in which case alarms must be raised in case ofan intrusion. For cost saving and power consumption reasons, it is better to perform thatprocess as close to the sensor as possible. To address that issue, a promising approach isto use bio-inspired frameworks, which consist in applying computational biology modelsto industrial applications. The work carried out during that thesis consisted in select-ing bio-inspired feature extraction frameworks, and to optimize them with the aim t…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Bio-inspiréApprentissage automatiqueIntelligence artificielle[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Descripteurs[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]EmbarquéAlgorithm-architecture matching[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM]Vision par ordinateurMachine learningRéseaux de neuronesComputer vision[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]OptimisationsFPGANeural networks[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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Advanced 3D movement analysis algorithms for robust functional capacity assessment.

2017

SummaryObjectives: We developed a novel system for in home functional capacities assessment in frail older adults by analyzing the Timed Up and Go movements. This system aims to follow the older people evolution, potentially allowing a forward detection of motor decompensation in order to trigger the implementation of rehabilitation. However, the pre-experimentations conducted on the ground, in different environments, revealed some problems which were related to KinectTM operation. Hence, the aim of this actual study is to develop methods to resolve these problems.Methods: Using the KinectTM sensor, we analyze the Timed Up and Go test movements by measuring nine spatio-temporal parameters, …

[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]Computer science02 engineering and technologyTimed Up and Go testcomputer.software_genreCorrelation0302 clinical medicineHealth Information ManagementMICROSOFT KINECT0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][ SDV.IB ] Life Sciences [q-bio]/Bioengineeringsitting posture recognition[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]FALLSVideo processingPatient self-care home care and e-healthComputer Science Applications3D real-time video processing020201 artificial intelligence & image processing[SDV.IB]Life Sciences [q-bio]/BioengineeringAlgorithmsClinical testsCapacity assessmentGO TESTskin detectionFrail ElderlyMovementFrail Older AdultsPostureHealth InformaticsMachine learning03 medical and health sciencesRobustness (computer science)[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyclinical informaticsHumansVALIDITYOLDER-ADULTSSimulationAgedMonitoring Physiologicbusiness.industryMovement analysisMOTOR STRATEGIESArtificial intelligencebusinesscomputer030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyApplied clinical informatics
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Whole mirror duplication-random loss model and pattern avoiding permutations

2010

International audience; In this paper we study the problem of the whole mirror duplication-random loss model in terms of pattern avoiding permutations. We prove that the class of permutations obtained with this model after a given number p of duplications of the identity is the class of permutations avoiding the alternating permutations of length p2+1. We also compute the number of duplications necessary and sufficient to obtain any permutation of length n. We provide two efficient algorithms to reconstitute a possible scenario of whole mirror duplications from identity to any permutation of length n. One of them uses the well-known binary reflected Gray code (Gray, 1953). Other relative mo…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Class (set theory)0206 medical engineeringBinary number0102 computer and information sciences02 engineering and technology[ MATH.MATH-CO ] Mathematics [math]/Combinatorics [math.CO]01 natural sciencesIdentity (music)Combinatorial problemsTheoretical Computer ScienceGray codeCombinatoricsPermutation[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM]Gene duplicationRandom loss[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]Pattern avoiding permutationGenerating algorithmComputingMilieux_MISCELLANEOUSMathematicsDiscrete mathematicsWhole duplication-random loss modelMathematics::CombinatoricsGenomeParity of a permutationComputer Science Applications[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC]Binary reflected Gray code010201 computation theory & mathematicsSignal Processing[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]020602 bioinformaticsAlgorithmsInformation Systems
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Approche préventive de la qualité des données d'importation dans le contexte de la protéomique clinique

2011

International audience; Dans le domaine biomédical, la protéomique est confrontée à des sources de données de plus en plus nombreuses et à des volumes de données très importants du fait de la multiplication des technologies dites à haut débit. L'hétérogénéité de la provenance des données implique de fait une hétérogénéité dans la représentation et le contenu de ces données. Les données peuvent aussi se révéler incorrectes ce qui engendre des erreurs sur les conclusions des expériences protéomiques. Notre approche a pour objectif de garantir la qualité initiale des données lors de leur importation dans un système d'information dédié à la protéomique. Elle est basée sur le couplage entre des …

[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB][INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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CeLL, an agent based model for exploring the spatial influence influence of climate change on Lobesia botrana population dynamics

2016

International audience; The European Grapevine moth (Lobesia botrana) is one of the most noxious vineyard-pests in the European and Mediterranean area. Its larvae feed on grapevine flowers and berries, and usually cause considerable damage, also by facilitating saphrophytic infections to berries.The biology of L. botrana has been investigated since the 80s. A number of studies has tested its physiology and behaviour in experimental conditions (Hurtrel et Thiéry 1999), in field conditions (Stockel et al. 1994), and using mathematical modelling techniques. Whereas the modelling approaches that have been proposed in the literature are hetereogeneus they generally focus on the phenology and pop…

[SDE.MCG]Environmental Sciences/Global Changes[SHS.GEO] Humanities and Social Sciences/GeographyAgriculture[SHS.GEO]Humanities and Social Sciences/GeographyVineyard landscape[ SHS.GEO ] Humanities and Social Sciences/Geography[SDE.MCG] Environmental Sciences/Global Changes[ SDE.MCG ] Environmental Sciences/Global Changes[SDV.EE.BIO] Life Sciences [q-bio]/Ecology environment/BioclimatologyLobesia botranaAgent based modeling[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.EE.BIO ] Life Sciences [q-bio]/Ecology environment/Bioclimatology[SDV.EE.BIO]Life Sciences [q-bio]/Ecology environment/Bioclimatology[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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Analysis of headspace of flavour compounds using PTR-ToF Mass Spectrometry: optimisation of acquisition parameters

2011

National audience

[SDV.AEN] Life Sciences [q-bio]/Food and NutritionBioinformatics et biostatistics dedicated to proteomics[SDV.AEN]Life Sciences [q-bio]/Food and NutritionComputingMilieux_MISCELLANEOUS
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In silico study of correspondences between odors descriptions linked to common features of aromas compounds

2014

The first step of odor detection and discrimination of structurally diverse odorants depends of their interactions with olfactory receptors (ORs) [1], whereas the perception of odors quality results from a combinatorial coding [2], whose identification still remains a major challenge. Recently, Martinez-Mayorga et al. demonstrated that odor description can be successfully analyzed using a metric approach by performing a descriptive analysis of the Flavor Base database (http://www.leffingwell.com, version 2010) [3]. The current version Flavor Base (9th edition, 2013) is one of the largest collections of flavor molecules (4226 molecules). We extracted 3508 molecules for which the described od…

[SDV.AEN] Life Sciences [q-bio]/Food and Nutritionclassificationpharmacophoreodor[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionchemoinformatics[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Decoding sweet taste from chemical structures

2019

International audience

[SDV.BBM.BP] Life Sciences [q-bio]/Biochemistry Molecular Biology/Biophysics[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry[SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biophysics[CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry[CHIM] Chemical Sciences[CHIM.CHEM] Chemical Sciences/Cheminformatics[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular Biology[CHIM]Chemical Sciences[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC][SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular Biology[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC][INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]ComputingMilieux_MISCELLANEOUS[CHIM.CHEM]Chemical Sciences/Cheminformatics[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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L'annuaire des Centres de Ressources Biologiques français

2011

International audience

[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]ComputingMilieux_MISCELLANEOUS[INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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