Search results for "sequence"

showing 10 items of 4987 documents

“Out of the Can”: A Draft Genome Assembly, Liver Transcriptome and Nutrigenomics of the European Sardine, <em>Sardina p<…

2018

Clupeiformes, such as sardines and herrings, represent an important share of worldwide fisheries. Among those, the European sardine (Sardina pilchardus, Walbaum 1792) exhibits significant commercial relevance. While the last decade showed a steady and sharp decline in capture levels, recent advances in culture husbandry represent promising research avenues. Yet, the complete absence of genomic resources from sardine imposes a severe bottleneck to understand its physiological and ecological requirements. We generated 69 Gbp of paired-end reads using Illumina HiSeq X Ten and assembled a draft genome assembly with an N50 scaffold length of 25579 bp and BUSCO completeness of 82.1% (Actinopteryg…

Comparative genomicsTranscriptomeNutrigenomicsbiologyEvolutionary biologySardineClupeiformesOily fishSequence assemblybiology.organism_classificationGenome
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The invisible violence. The denial of relational trauma and its consequences in early childhood.

2016

Abstract The paper is aimed at the analysis of recognition and legitimacy problems, historically present in the study of psychological trauma, as well as to opening reflections on the possibility that these difficulties are still current. Recent contributions on the study of the developmental trauma disorder mainly highlight the importance of relational and cumulative aspects and during the developmental cycle when the subject experiences his/her traumatic events. Multiple exposures to interpersonal trauma in fact have a stronger impact on the first decade of life, resulting in predictable consequences on at least seven mental functioning areas. Several authors propose a new diagnostic labe…

Complex-PTSDcumulative outcomerelational consequences.developmental trauma disorderdenial
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Perdió el libro que se compró / había comprado pocos días antes: Reflexiones iniciales en torno al saber gramatical sobre los tiempos verbales del pa…

2007

Carmen.Rdez-Gonzalo@uv.es La alternancia entre los tiempos verbales del pasado en textos escritos exige tener en cuenta diferencias aspectuales poco presentes en el español hablado. Según López García (2005: 162), el sistema de cinco tiempos simples (vengo, venía, vine, vendría, vendré) cubre las necesidades expresivas de los hispanohablantes, aunque los niños emplean menos y muchos hablantes adultos raramente usan otras formas. Los problemas se plantean cuando en lugar de hablar español necesitamos escribirlo y leerlo. Esta necesidad cambia por completo el inventario de tiempos ya que, para articular un texto es preciso dejar muy claro que unos acontecimientos ocurren antes o después de ot…

Compulsory EducationApprentissage grammatical ; Aspect ; Corrélation de temps verbaux ; Séquences pour apprendre de la grammaire ; Educación SecundariAspectEducación SecundariSéquences pour apprendre de la grammaireDidácticaUNESCO::LINGÜÍSTICAAspectoCorrelación de tiempos verbalesApprentissage grammatical:LINGÜÍSTICA [UNESCO]Aprendizaje gramatical ; Aspecto ; Correlación de tiempos verbales ; Secuencias para aprender gramática ; Educación Secundaria ObligatoriaSecuencias para aprender gramáticaGrammatical learningEducación Secundaria ObligatoriaCorrélation de temps verbauxEnseñanza de las HumanidadesCorrelation of verbal tensesAprendizaje gramaticalSequences for learning grammarCompulsory EducationApprentissage grammaticalGrammatical learning ; Aspect ; Correlation of verbal tenses ; Sequences for learning grammar ; Compulsory Education
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Third-order iterative methods without using any Fréchet derivative

2003

AbstractA modification of classical third-order methods is proposed. The main advantage of these methods is they do not need to evaluate any Fréchet derivative. A convergence theorem in Banach spaces, just assuming the second divided difference is bounded and a punctual condition, is analyzed. Finally, some numerical results are presented.

Computational MathematicsIterative methodFréchet spaceBounded functionApplied MathematicsMathematical analysisConvergence (routing)Banach spaceFréchet derivativeApplied mathematicsQuasi-derivativeCauchy sequenceMathematicsJournal of Computational and Applied Mathematics
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JANE: efficient mapping of prokaryotic ESTs and variable length sequence reads on related template genomes

2009

Abstract Background ESTs or variable sequence reads can be available in prokaryotic studies well before a complete genome is known. Use cases include (i) transcriptome studies or (ii) single cell sequencing of bacteria. Without suitable software their further analysis and mapping would have to await finalization of the corresponding genome. Results The tool JANE rapidly maps ESTs or variable sequence reads in prokaryotic sequencing and transcriptome efforts to related template genomes. It provides an easy-to-use graphics interface for information retrieval and a toolkit for EST or nucleotide sequence function prediction. Furthermore, we developed for rapid mapping an enhanced sequence align…

Computational biologyBiologylcsh:Computer applications to medicine. Medical informaticsBiochemistryGenomeUser-Computer InterfaceStructural BiologyDatabases Geneticlcsh:QH301-705.5Molecular BiologySequence (medicine)Expressed Sequence TagsWhole genome sequencingGeneticsInternetExpressed sequence tagGenomeBase SequencePhylumApplied MathematicsNucleic acid sequenceComputational BiologySequence Analysis DNAComputer Science Applicationslcsh:Biology (General)Single cell sequencinglcsh:R858-859.7DNA microarraySoftwareBMC Bioinformatics
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A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning

2016

Classification and sequence learning are relevant capabilities used by living beings to extract complex information from the environment for behavioral control. The insect world is full of examples where the presentation time of specific stimuli shapes the behavioral response. On the basis of previously developed neural models, inspired by Drosophila melanogaster, a new architecture for classification and sequence learning is here presented under the perspective of the Neural Reuse theory. Classification of relevant input stimuli is performed through resonant neurons, activated by the complex dynamics generated in a lattice of recurrent spiking neurons modeling the insect Mushroom Bodies n…

Computer Networks and CommunicationsComputer scienceDecision MakingModels NeurologicalAction PotentialsContext (language use)Insect mushroom bodies bio-inspired control spiking neurons02 engineering and technologyVariation (game tree)Motor Activitybio-inspired control03 medical and health sciences0302 clinical medicineRewardSubsequence0202 electrical engineering electronic engineering information engineeringAnimalsLearningComputer SimulationMushroom BodiesTRACE (psycholinguistics)NeuronsSequencebio-inspired control; Insect mushroom bodies; learning; neural model; resonant neurons; spiking neurons; Action Potentials; Animals; Computer Simulation; Decision Making; Drosophila melanogaster; Learning; Motor Activity; Mushroom Bodies; Neurons; Perception; Reward; Robotics; Models Neurological; Neural Networks Computerspiking neuronsbusiness.industryRoboticsGeneral MedicineInsect mushroom bodiesComplex dynamicsDrosophila melanogasterMushroom bodiesPerception020201 artificial intelligence & image processingNeural Networks ComputerArtificial intelligenceSequence learningbusiness030217 neurology & neurosurgery
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Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry.

2020

ABSTRACTIn contrast with our everyday experience using brain circuits, it can take a prohibitively long time to train a computational system to produce the correct sequence of outputs in the presence of a series of inputs. This suggests that something important is missing in the way in which models are trying to reproduce basic cognitive functions. In this work, we introduce a new neuronal network architecture that is able to learn, in a single trial, an arbitrary long sequence of any known objects. The key point of the model is the explicit use of mechanisms and circuitry observed in the hippocampus, which allow the model to reach a level of efficiency and accuracy that, to the best of our…

Computer Networks and CommunicationsComputer scienceModels NeurologicalHippocampusAction PotentialsBrain modeling; Computer architecture; Hippocampus; Learning systems; Microprocessors; Navigation; Neurons; Persistent firing (PF); robot navigation; spike-timing-dependent-plasticity synapse; spiking neurons.Hippocampal formationHippocampus03 medical and health sciences0302 clinical medicineArtificial IntelligenceBiological neural network030304 developmental biologyNeurons0303 health sciencesSequenceSeries (mathematics)business.industryBasic cognitive functionsContrast (statistics)CognitionComputer Science ApplicationsSequence learningArtificial intelligenceNeural Networks ComputerbusinessSoftware030217 neurology & neurosurgeryIEEE transactions on neural networks and learning systems
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Homology of pseudodifferential operators on manifolds with fibered cusps

2003

The Hochschild homology of the algebra of pseudodifferential operators on a manifold with fibered cusps, introduced by Mazzeo and Melrose, is studied and computed using the approach of Brylinski and Getzler. One of the main technical tools is a new convergence criterion for tri-filtered half-plane spectral sequences. Using trace-like functionals that generate the 0 0 -dimensional Hochschild cohomology groups, the index of a fully elliptic fibered cusp operator is expressed as the sum of a local contribution of Atiyah-Singer type and a global term on the boundary. We announce a result relating this boundary term to the adiabatic limit of the eta invariant in a particular case.

Computer Science::Machine LearningHochschild homologyApplied MathematicsGeneral MathematicsFibered knotHomology (mathematics)Computer Science::Digital LibrariesCohomologyManifoldAlgebraStatistics::Machine LearningElliptic operatorEta invariantMathematics::K-Theory and HomologySpectral sequenceComputer Science::Mathematical SoftwareMathematicsTransactions of the American Mathematical Society
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Compression-based classification of biological sequences and structures via the Universal Similarity Metric: experimental assessment.

2007

Abstract Background Similarity of sequences is a key mathematical notion for Classification and Phylogenetic studies in Biology. It is currently primarily handled using alignments. However, the alignment methods seem inadequate for post-genomic studies since they do not scale well with data set size and they seem to be confined only to genomic and proteomic sequences. Therefore, alignment-free similarity measures are actively pursued. Among those, USM (Universal Similarity Metric) has gained prominence. It is based on the deep theory of Kolmogorov Complexity and universality is its most novel striking feature. Since it can only be approximated via data compression, USM is a methodology rath…

Computer scienceAlgorismesPrediction by partial matchingCompression dissimilaritycomputer.software_genreBiochemistryProtein Structure SecondaryPhylogenetic studiesStructural BiologySequence Analysis ProteinDatabases Proteinlcsh:QH301-705.5Biological dataNCDApplied MathematicsGenomicsClassificationCDComputer Science ApplicationsBenchmarking:Informàtica::Informàtica teòrica [Àrees temàtiques de la UPC]Universal compression dissimilarityArea Under CurveMetric (mathematics)lcsh:R858-859.7Data miningAlgorithmsData compressionResearch Article:Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC]Normalization (statistics)lcsh:Computer applications to medicine. Medical informaticsBioinformatics Sequence Alignment AlgorithmsSet (abstract data type)Similarity (network science)Normalized compression sissimilarityData compression (Computer science)AnimalsHumansAmino Acid SequenceMolecular BiologyBiologyDades -- Compressió (Informàtica)USMUniversal similarity metricProteinsUCDProtein Structure TertiaryData setGenòmicaStatistical classificationlcsh:Biology (General)ROC CurvecomputerSequence AlignmentSoftwareBMC bioinformatics
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Efficient and Accurate OTU Clustering with GPU-Based Sequence Alignment and Dynamic Dendrogram Cutting.

2015

De novo clustering is a popular technique to perform taxonomic profiling of a microbial community by grouping 16S rRNA amplicon reads into operational taxonomic units (OTUs). In this work, we introduce a new dendrogram-based OTU clustering pipeline called CRiSPy. The key idea used in CRiSPy to improve clustering accuracy is the application of an anomaly detection technique to obtain a dynamic distance cutoff instead of using the de facto value of 97 percent sequence similarity as in most existing OTU clustering pipelines. This technique works by detecting an abrupt change in the merging heights of a dendrogram. To produce the output dendrograms, CRiSPy employs the OTU hierarchical clusterin…

Computer scienceCorrelation clusteringSingle-linkage clusteringMolecular Sequence DataMachine learningcomputer.software_genrePattern Recognition AutomatedCURE data clustering algorithmRNA Ribosomal 16SGeneticsComputer GraphicsCluster analysisBase Sequencebusiness.industryApplied MathematicsDendrogramHigh-Throughput Nucleotide SequencingPattern recognitionSignal Processing Computer-AssistedEquipment DesignHierarchical clusteringEquipment Failure AnalysisRNA BacterialCanopy clustering algorithmArtificial intelligenceHierarchical clustering of networksbusinesscomputerSequence AlignmentAlgorithmsBiotechnologyIEEE/ACM transactions on computational biology and bioinformatics
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