Search results for "Computer Science Application"

showing 10 items of 3998 documents

Pseudo-Cut Strategies for Global Optimization

2011

Motivated by the successful use of a pseudo-cut strategy within the setting of constrained nonlinear and nonconvex optimization in Lasdon et al. (2010), we propose a framework for general pseudo-cut strategies in global optimization that provides a broader and more comprehensive range of methods. The fundamental idea is to introduce linear cutting planes that provide temporary, possibly invalid, restrictions on the space of feasible solutions, as proposed in the setting of the tabu search metaheuristic in Glover (1989), in order to guide a solution process toward a global optimum, where the cutting planes can be discarded and replaced by others as the process continues. These strategies can…

Statistics and ProbabilityMathematical optimizationControl and OptimizationProcess (engineering)Space (commercial competition)Tabu searchComputer Science ApplicationsComputational MathematicsNonlinear systemRange (mathematics)Computational Theory and MathematicsOrder (exchange)Modeling and SimulationDecision Sciences (miscellaneous)Global optimizationMetaheuristicMathematicsInternational Journal of Applied Metaheuristic Computing
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Comprehensive estimation of input signals and dynamics in biochemical reaction networks

2012

Abstract Motivation: Cellular information processing can be described mathematically using differential equations. Often, external stimulation of cells by compounds such as drugs or hormones leading to activation has to be considered. Mathematically, the stimulus is represented by a time-dependent input function. Parameters such as rate constants of the molecular interactions are often unknown and need to be estimated from experimental data, e.g. by maximum likelihood estimation. For this purpose, the input function has to be defined for all times of the integration interval. This is usually achieved by approximating the input by interpolation or smoothing of the measured data. This procedu…

Statistics and ProbabilityMedicin och hälsovetenskapComputer scienceDifferential equationMaximum likelihoodcomputer.software_genreBiochemistryModels BiologicalMedical and Health SciencesIntegration intervalMolecular BiologyJanus KinasesLikelihood FunctionsRegulation Pathways and Systems BiologyExperimental dataOriginal PapersConfidence intervalComputer Science ApplicationsComputational MathematicsSTAT Transcription FactorsComputational Theory and MathematicsData miningAlgorithmcomputerSmoothingAlgorithmsSignal Transduction
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ballaxy: web services for structural bioinformatics.

2014

Abstract Motivation: Web-based workflow systems have gained considerable momentum in sequence-oriented bioinformatics. In structural bioinformatics, however, such systems are still relatively rare; while commercial stand-alone workflow applications are common in the pharmaceutical industry, academic researchers often still rely on command-line scripting to glue individual tools together. Results: In this work, we address the problem of building a web-based system for workflows in structural bioinformatics. For the underlying molecular modelling engine, we opted for the BALL framework because of its extensive and well-tested functionality in the field of structural bioinformatics. The large …

Statistics and ProbabilityModels MolecularComputer sciencecomputer.software_genreBiochemistryWorkflowStructural bioinformaticsUser-Computer InterfaceHumansMolecular Biologybusiness.industryComputational BiologySequence Analysis DNAData structureComputer Science ApplicationsVisualizationSystems IntegrationComputational MathematicsWorkflowComputational Theory and MathematicsScripting languageWeb serviceSoftware engineeringbusinesscomputerAlgorithmsSoftwareBioinformatics (Oxford, England)
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Assessment of the probabilities for evolutionary structural changes in protein folds.

2007

Abstract Motivation: The evolution of protein sequences can be described by a stepwise process, where each step involves changes of a few amino acids. In a similar manner, the evolution of protein folds can be at least partially described by an analogous process, where each step involves comparatively simple changes affecting few secondary structure elements. A number of such evolution steps, justified by biologically confirmed examples, have previously been proposed by other researchers. However, unlike the situation with sequences, as far as we know there have been no attempts to estimate the comparative probabilities for different kinds of such structural changes. Results: We have tried …

Statistics and ProbabilityModels MolecularProtein FoldingProtein domainStructural alignmentBiologyBiochemistrySet (abstract data type)Evolution MolecularProtein structureSimilarity (network science)Sequence Analysis ProteinComputer SimulationMolecular BiologyProtein secondary structureConserved SequenceSequenceModels GeneticSequence Homology Amino AcidProteinsStructural Classification of Proteins databaseComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsModels ChemicalData Interpretation Statisticalsense organsAlgorithmSequence AlignmentBioinformatics (Oxford, England)
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CARE: context-aware sequencing read error correction.

2020

Abstract Motivation Error correction is a fundamental pre-processing step in many Next-Generation Sequencing (NGS) pipelines, in particular for de novo genome assembly. However, existing error correction methods either suffer from high false-positive rates since they break reads into independent k-mers or do not scale efficiently to large amounts of sequencing reads and complex genomes. Results We present CARE—an alignment-based scalable error correction algorithm for Illumina data using the concept of minhashing. Minhashing allows for efficient similarity search within large sequencing read collections which enables fast computation of high-quality multiple alignments. Sequencing errors ar…

Statistics and ProbabilityMultiple sequence alignmentComputer scienceSequence assemblyHigh-Throughput Nucleotide SequencingContext (language use)Sequence Analysis DNAcomputer.software_genreBiochemistryGenomeComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsHumansHuman genomeData miningError detection and correctionMolecular BiologycomputerSequence AlignmentAlgorithmsSoftwareBioinformatics (Oxford, England)
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A parallel and sensitive software tool for methylation analysis on multicore platforms.

2015

Abstract Motivation: DNA methylation analysis suffers from very long processing time, as the advent of Next-Generation Sequencers has shifted the bottleneck of genomic studies from the sequencers that obtain the DNA samples to the software that performs the analysis of these samples. The existing software for methylation analysis does not seem to scale efficiently neither with the size of the dataset nor with the length of the reads to be analyzed. As it is expected that the sequencers will provide longer and longer reads in the near future, efficient and scalable methylation software should be developed. Results: We present a new software tool, called HPG-Methyl, which efficiently maps bis…

Statistics and ProbabilityMutation rateTime FactorsComputer scienceReal-time computingBisulfite sequencingMolecular Sequence DataGenomicsParallel computingcomputer.software_genremedicine.disease_causeBiochemistryGenomeBottleneckchemistry.chemical_compoundSoftwareMutation RateDatabases GeneticmedicineHumansSulfitesMolecular BiologyMutationMulti-core processorGenomeBase Sequencebusiness.industryHigh-Throughput Nucleotide SequencingMethylationGenomicsDNA MethylationOriginal PapersComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicschemistryDNA methylationScalabilityMutationCompilerbusinesscomputerSequence AnalysisDNAAlgorithmsSoftwareBioinformatics (Oxford, England)
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Spatial data of Ixodes ricinus instar abundance and nymph pathogen prevalence, Scandinavia, 2016-2017.

2020

ticks carry pathogens that can cause disease in both animals and humans, and there is a need to monitor the distribution and abundance of ticks and the pathogens they carry to pinpoint potential high risk areas for tick-borne disease transmission. In a joint Scandinavian study, we measured Ixodes ricinus instar abundance at 159 sites in southern Scandinavia in August-September, 2016, and collected 29,440 tick nymphs at 50 of these sites. We additionally measured abundance at 30 sites in August-September, 2017. We tested the 29,440 tick nymphs in pools of 10 in a Fluidigm real-time PCR chip to screen for 17 different tick-associated pathogens, 2 pathogen groups and 3 tick species. We present…

Statistics and ProbabilityNymphIxodes ricinus030231 tropical medicineZoologyLibrary and Information SciencesTickScandinavian and Nordic CountriesEducation03 medical and health sciences0302 clinical medicineAbundance (ecology)parasitic diseasesAnimalsNymphlcsh:ScienceAuthor CorrectionPathogenEcosystemEcological epidemiology0303 health sciencesEcologybiologyIxodes030306 microbiologybiology.organism_classificationComputer Science ApplicationsHabitatInstarlcsh:QStatistics Probability and UncertaintyBacterial infectionDisease transmissionEntomologyAnimal DistributionInformation SystemsVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480Scientific data
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A non-linear optimization procedure to estimate distances and instantaneous substitution rate matrices under the GTR model.

2006

Abstract Motivation: The general-time-reversible (GTR) model is one of the most popular models of nucleotide substitution because it constitutes a good trade-off between mathematical tractability and biological reality. However, when it is applied for inferring evolutionary distances and/or instantaneous rate matrices, the GTR model seems more prone to inapplicability than more restrictive time-reversible models. Although it has been previously noted that the causes for intractability are caused by the impossibility of computing the logarithm of a matrix characterised by negative eigenvalues, the issue has not been investigated further. Results: Here, we formally characterize the mathematic…

Statistics and ProbabilityOptimization problemBase Pair MismatchBiochemistryLinkage DisequilibriumNonlinear programmingInterpretation (model theory)Evolution MolecularApplied mathematicsComputer SimulationDivergence (statistics)Molecular BiologyEigenvalues and eigenvectorsPhylogenyMathematicsSequenceModels GeneticSubstitution (logic)Chromosome MappingGenetic VariationSequence Analysis DNAComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsNonlinear DynamicsLogarithm of a matrixAlgorithmAlgorithmsBioinformatics (Oxford, England)
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Iterative Cluster Analysis of Protein Interaction Data

2004

Abstract Motivation: Generation of fast tools of hierarchical clustering to be applied when distances among elements of a set are constrained, causing frequent distance ties, as happens in protein interaction data. Results: We present in this work the program UVCLUSTER, that iteratively explores distance datasets using hierarchical clustering. Once the user selects a group of proteins, UVCLUSTER converts the set of primary distances among them (i.e. the minimum number of steps, or interactions, required to connect two proteins) into secondary distances that measure the strength of the connection between each pair of proteins when the interactions for all the proteins in the group are consid…

Statistics and ProbabilitySaccharomyces cerevisiae ProteinsComputer sciencecomputer.software_genreBiochemistryInteractomePattern Recognition AutomatedSet (abstract data type)Protein Interaction MappingCluster (physics)Cluster AnalysisCluster analysisMolecular BiologyCytoskeletonMeasure (data warehouse)Gene Expression ProfilingProteinsActinsComputer Science ApplicationsHierarchical clusteringGene expression profilingComputational MathematicsComputational Theory and MathematicsPattern recognition (psychology)Benchmark (computing)Data miningcomputerAlgorithmsSoftwareSignal TransductionBioinformatics
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A web application for the unspecific detection of differentially expressed DNA regions in strand-specific expression data

2015

Abstract Genomic technologies allow laboratories to produce large-scale data sets, either through the use of next-generation sequencing or microarray platforms. To explore these data sets and obtain maximum value from the data, researchers view their results alongside all the known features of a given reference genome. To study transcriptional changes that occur under a given condition, researchers search for regions of the genome that are differentially expressed between different experimental conditions. In order to identify these regions several algorithms have been developed over the years, along with some bioinformatic platforms that enable their use. However, currently available appli…

Statistics and ProbabilitySequence analysisADNGenomicsComputational biologyBiologycomputer.software_genreBiochemistryGenomeComputer GraphicsExpressió genèticaWeb applicationHumansMolecular BiologyGeneInternetMicroarray analysis techniquesbusiness.industryGenome HumanGene Expression ProfilingComputational BiologyHigh-Throughput Nucleotide SequencingDNAGenomicsSequence Analysis DNAComputer Science ApplicationsGene expression profilingComputational MathematicsGenòmicaComputingMethodologies_PATTERNRECOGNITIONComputational Theory and MathematicsData miningbusinesscomputerAlgorithmsGenèticaReference genome
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