Search results for "math"

showing 10 items of 25151 documents

Inferring causation from time series in earth system sciences

2019

The heart of the scientific enterprise is a rational effort to understand the causes behind the phenomena we observe. In large-scale complex dynamical systems such as the Earth system, real experiments are rarely feasible. However, a rapidly increasing amount of observational and simulated data opens up the use of novel data-driven causal methods beyond the commonly adopted correlation techniques. Here, we give an overview of causal inference frameworks and identify promising generic application cases common in Earth system sciences and beyond. We discuss challenges and initiate the benchmark platform causeme.net to close the gap between method users and developers.

0301 basic medicineEarth scienceAquatic Ecology and Water Quality ManagementDynamical systems theoryComputer science530 PhysicsDatenmanagement und AnalyseSciencereviewGeneral Physics and Astronomyheart02 engineering and technologyGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesDatabasesLife ScienceCausationStatistical physics thermodynamics and nonlinear dynamicsintermethod comparisonlcsh:Scienceresearch workScientific enterpriseMultidisciplinaryWIMEKSeries (mathematics)QComputational sciencefeasibility study500General ChemistryAquatische Ecologie en Waterkwaliteitsbeheersimulation021001 nanoscience & nanotechnologyData sciencecausal inference climateEarth system scienceEnvironmental sciences030104 developmental biologytime series analysisCausal inferencePerspectiveBenchmark (computing)Observational studylcsh:Qconceptual frameworkdata management0210 nano-technologyClimate sciences
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Strategies for structuring interdisciplinary education in Systems Biology: an European perspective

2016

Systems Biology is an approach to biology and medicine that has the potential to lead to a better understanding of how biological properties emerge from the interaction of genes, proteins, molecules, cells and organisms. The approach aims at elucidating how these interactions govern biological function by employing experimental data, mathematical models and computational simulations. As Systems Biology is inherently multidisciplinary, education within this field meets numerous hurdles including departmental barriers, availability of all required expertise locally, appropriate teaching material and example curricula. As university education at the Bachelor’s level is traditionally built upon…

0301 basic medicineEngineeringSystems biologymedia_common.quotation_subjectStructuringGeneral Biochemistry Genetics and Molecular BiologyArticleEducation03 medical and health sciences0302 clinical medicineExcellenceMultidisciplinary approachDrug DiscoveryComputingMilieux_COMPUTERSANDEDUCATIONLife ScienceSystems and Synthetic BiologyInnovation/dk/atira/pure/sustainabledevelopmentgoals/industry_innovation_and_infrastructureCurriculummedia_commonVLAGFlexibility (engineering)Systeem en Synthetische BiologieScience & TechnologyManagement sciencebusiness.industry4. EducationApplied MathematicsINF/01 - INFORMATICAGAPGénéralitésSystems Biology Training and education3. Good healthComputer Science Applications030104 developmental biologyAction (philosophy)Modeling and Simulationand InfrastructureSDG 9 - Industry Innovation and InfrastructureMathematical & Computational BiologySystems biologybusinessDisciplineSDG 9 - IndustryLife Sciences & Biomedicine030217 neurology & neurosurgery
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Application of modern computer algebra systems in food formulations and development: A case study

2017

Abstract Background Nutritional security determines the level of public health within a population while inadequate nutrition is one of the major factors in development of various health problems. This can be alleviated with sufficient and affordable access to currently available or newly designed nutritious foods. Scope and approach Formulation of new foods can be very costly, so methods able to lower design expanses are of utmost importance to the industry. Hence, the purpose of this work was to rationalize utilization of modern computerized algebraic systems (CAS) in solving traditional problems for formulating food mixtures by food combinatoric principles (FCP). Key findings and conclus…

0301 basic medicineEngineering[SDV.BIO]Life Sciences [q-bio]/BiotechnologyIndustrial production[SDV]Life Sciences [q-bio]PopulationFood combinatoric principles ; Food design of composite product ; Calculation of mixes ; Food formulation ; Computer algebra system ; PTC MathCAD03 medical and health sciences0404 agricultural biotechnologyDevelopment (topology)Calculation of mixesProduction (economics)Operations management[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringPTC MathCADeducation2. Zero hungereducation.field_of_study030109 nutrition & dieteticsScope (project management)Food combinatoric principlesbusiness.industryScale (chemistry)04 agricultural and veterinary sciencesSymbolic computation040401 food scienceFood formulationRisk analysis (engineering)Key (cryptography)Computer algebra systemFood design of composite productbusiness[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood ScienceBiotechnology
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Compliance, practices, and attitudes towards VTIs (Vehicle Technical Inspections) in Spain: What prevents Spanish drivers from checking up their cars?

2021

Objective Mechanical conditions of vehicles may play a determinant role in driving safety, the reason why vehicle periodical technical inspections (VTIs) are mandatory in many countries. However, the high number of drivers sanctioned for not complying with this regulation is surprisingly high, and there is not much evidence on what kind(s) of motives may explain this concerning panorama. This study aimed to identify the aspects that modulate the relationship between complying (or not) with VTI’s standards in a nationwide sample of Spanish drivers. The study design also addressed the drivers’ awareness regarding different risky behaviors while driving, depending on their sex and their crash…

0301 basic medicineEpidemiologyApplied psychologyPoison controlSocial SciencesCrashTransportationSuicide preventionOccupational safety and health0302 clinical medicineProfessional CompetenceMathematical and Statistical TechniquesConsciènciaPsychological AttitudesSurveys and QuestionnairesMedicine and Health SciencesPsychologyPublic and Occupational Health030212 general & internal medicineeducation.field_of_studyMultidisciplinaryAlcohol ConsumptionSeguretat viàriaStatisticsQAccidents TrafficRHuman factors and ergonomicsTransportation InfrastructureResearch DesignPhysical SciencesEngineering and TechnologyMedicineSafetyPsychologyResearch ArticleAutomobile DrivingCensusSciencePopulationSample (statistics)Research and Analysis MethodsCivil Engineering03 medical and health sciencesRisk-TakingInjury preventionHumansStatistical MethodseducationRegulationsNutritionAnalysis of VarianceSurvey ResearchTraffic SafetyBiology and Life SciencesVehiclesRoadsDiet030104 developmental biologySpainMedical Risk FactorsLaw and Legal SciencesAutomobilesMathematicsPLoS ONE
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Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM

2019

Single-cell transcriptomic assays have enabled the de novo reconstruction of lineage differentiation trajectories, along with the characterization of cellular heterogeneity and state transitions. Several methods have been developed for reconstructing developmental trajectories from single-cell transcriptomic data, but efforts on analyzing single-cell epigenomic data and on trajectory visualization remain limited. Here we present STREAM, an interactive pipeline capable of disentangling and visualizing complex branching trajectories from both single-cell transcriptomic and epigenomic data. We have tested STREAM on several synthetic and real datasets generated with different single-cell techno…

0301 basic medicineEpigenomicsMultifactor Dimensionality ReductionComputer scienceGeneral Physics and Astronomy02 engineering and technologyOmics dataMyoblastsMiceSingle-cell analysisGATA1 Transcription FactorMyeloid CellsLymphocyteslcsh:ScienceData processingMultidisciplinaryQGene Expression Regulation DevelopmentalRNA sequencingCell DifferentiationGenomics021001 nanoscience & nanotechnologyData processingDNA-Binding ProteinsInterferon Regulatory FactorsSingle-Cell Analysis0210 nano-technologyAlgorithmsOmics technologiesSignal TransductionLineage differentiationScienceComputational biologyGeneral Biochemistry Genetics and Molecular BiologyArticle03 medical and health sciencesErythroid CellsAnimalsCell LineageGeneral Chemistrydevelopmental trajectories visualizationHematopoietic Stem CellsPipeline (software)Visualization030104 developmental biologyTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESCellular heterogeneitySingle cell analysilcsh:QGene expressionTranscriptomeTranscription FactorsNature Communications
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Informational and linguistic analysis of large genomic sequence collections via efficient Hadoop cluster algorithms

2018

Abstract Motivation Information theoretic and compositional/linguistic analysis of genomes have a central role in bioinformatics, even more so since the associated methodologies are becoming very valuable also for epigenomic and meta-genomic studies. The kernel of those methods is based on the collection of k-mer statistics, i.e. how many times each k-mer in {A,C,G,T}k occurs in a DNA sequence. Although this problem is computationally very simple and efficiently solvable on a conventional computer, the sheer amount of data available now in applications demands to resort to parallel and distributed computing. Indeed, those type of algorithms have been developed to collect k-mer statistics in…

0301 basic medicineEpigenomicsgenomic analysis; hadoop; distributed computingStatistics and ProbabilityComputer scienceBig dataSequence assemblyGenomeBiochemistryDomain (software engineering)Set (abstract data type)03 medical and health sciencesdistributed computingSoftwareComputational Theory and MathematicAnimalsCluster AnalysisHumansA-DNAk-mer counting distributed computing hadoop map reduceMolecular BiologyEpigenomicsBacteriabusiness.industryk-mer countingEukaryotaLinguisticsComputer Science Applications1707 Computer Vision and Pattern RecognitionGenomicsSequence Analysis DNAComputer Science ApplicationsComputational Mathematics030104 developmental biologymap reduceComputational Theory and MathematicsDistributed algorithmgenomic analysisKernel (statistics)MetagenomehadoopbusinessAlgorithmAlgorithmsSoftware
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Low-energy extracorporeal shockwave therapy (ESWT) improves metaphyseal fracture healing in an osteoporotic rat model.

2017

Purpose As result of the current demographic changes, osteoporosis and osteoporotic fractures are becoming an increasing social and economic burden. In this experimental study, extracorporeal shock wave therapy (ESWT), was evaluated as a treatment option for the improvement of osteoporotic fracture healing. Methods A well-established fracture model in the metaphyseal tibia in the osteoporotic rat was used. 132 animals were divided into 11 groups, with 12 animals each, consisting of one sham-operated group and 10 ovariectomized (osteoporotic) groups, of which 9 received ESWT treatment. Different energy flux intensities (0.15 mJ/mm2, 0.35 mJ/mm2, or 0.55 mJ/mm2) as well as different numbers o…

0301 basic medicineExtracorporeal Shockwave TherapyCritical Care and Emergency Medicinemedicine.medical_treatmentOsteoporosisTest StatisticsDentistryGene Expressionlcsh:MedicineRats Sprague-Dawley0302 clinical medicineMathematical and Statistical TechniquesAnimal CellsMedicine and Health SciencesReproductive System ProceduresConnective Tissue Diseaseslcsh:ScienceMusculoskeletal SystemTrauma MedicineConnective Tissue CellsFracture Healing030222 orthopedicsMultidisciplinaryBiomechanicsBone FractureConnective TissueExtracorporeal shockwave therapyPhysical SciencesOvariectomized ratFemaleAnatomyCellular TypesTraumatic InjuryStatistics (Mathematics)Research ArticleOvariectomySurgical and Invasive Medical ProceduresBone healingResearch and Analysis Methods03 medical and health sciencesRheumatologymedicineGeneticsAnimalsTibiaStatistical MethodsSkeletonAnalysis of VarianceOsteoblastsSurgical ExcisionTibiabusiness.industrylcsh:RBiology and Life SciencesBone fractureCell Biologymedicine.diseaseRatsDisease Models Animal030104 developmental biologyBiological TissueAdjunctive treatmentOsteoporosislcsh:QbusinessOsteoporotic FracturesMathematicsPLoS ONE
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FASTdoop: A versatile and efficient library for the input of FASTA and FASTQ files for MapReduce Hadoop bioinformatics applications

2017

Abstract Summary MapReduce Hadoop bioinformatics applications require the availability of special-purpose routines to manage the input of sequence files. Unfortunately, the Hadoop framework does not provide any built-in support for the most popular sequence file formats like FASTA or BAM. Moreover, the development of these routines is not easy, both because of the diversity of these formats and the need for managing efficiently sequence datasets that may count up to billions of characters. We present FASTdoop, a generic Hadoop library for the management of FASTA and FASTQ files. We show that, with respect to analogous input management routines that have appeared in the Literature, it offers…

0301 basic medicineFASTQ formatStatistics and ProbabilityComputer scienceSequence analysismedia_common.quotation_subjectInformation Storage and RetrievalBioinformaticscomputer.software_genreGenomeBiochemistryDomain (software engineering)03 medical and health sciencesComputational Theory and MathematicHumansGenomic libraryQuality (business)DNA sequencingFASTQ; NGS; FASTQ; DNA sequencingMolecular Biologymedia_commonGene LibrarySequenceDatabaseSettore INF/01 - InformaticaGenome HumanComputer Science Applications1707 Computer Vision and Pattern RecognitionGenomicsSequence Analysis DNAFASTQFile formatComputer Science ApplicationsStatistics and Probability; Biochemistry; Molecular Biology; Computer Science Applications1707 Computer Vision and Pattern Recognition; Computational Theory and Mathematics; Computational MathematicsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsNGSDatabase Management Systemscomputer
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Alignment-free sequence comparison using absent words

2018

Sequence comparison is a prerequisite to virtually all comparative genomic analyses. It is often realised by sequence alignment techniques, which are computationally expensive. This has led to increased research into alignment-free techniques, which are based on measures referring to the composition of sequences in terms of their constituent patterns. These measures, such as $q$-gram distance, are usually computed in time linear with respect to the length of the sequences. In this paper, we focus on the complementary idea: how two sequences can be efficiently compared based on information that does not occur in the sequences. A word is an {\em absent word} of some sequence if it does not oc…

0301 basic medicineFOS: Computer and information sciencesFormal Languages and Automata Theory (cs.FL)Computer Science - Formal Languages and Automata TheorySequence alignmentInformation System0102 computer and information sciencesCircular wordAbsent words01 natural sciencesUpper and lower boundsSequence comparisonTheoretical Computer ScienceCombinatorics03 medical and health sciencesComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Absent wordCircular wordsMathematicsSequenceSettore INF/01 - InformaticaProcess (computing)q-gramComputer Science Applications1707 Computer Vision and Pattern Recognitionq-gramsComposition (combinatorics)Computer Science Applications030104 developmental biologyComputational Theory and MathematicsForbidden words010201 computation theory & mathematicsFocus (optics)Forbidden wordWord (computer architecture)Information SystemsInteger (computer science)
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Integrative analysis of structural variations using short-reads and linked-reads yields highly specific and sensitive predictions.

2020

Genetic diseases are driven by aberrations of the human genome. Identification of such aberrations including structural variations (SVs) is key to our understanding. Conventional short-reads whole genome sequencing (cWGS) can identify SVs to base-pair resolution, but utilizes only short-range information and suffers from high false discovery rate (FDR). Linked-reads sequencing (10XWGS) utilizes long-range information by linkage of short-reads originating from the same large DNA molecule. This can mitigate alignment-based artefacts especially in repetitive regions and should enable better prediction of SVs. However, an unbiased evaluation of this technology is not available. In this study, w…

0301 basic medicineFalse discovery rateComputer scienceArtificial Gene Amplification and ExtensionPolymerase Chain ReactionDatabase and Informatics MethodsSequencing techniques0302 clinical medicineBreast TumorsBasic Cancer ResearchMedicine and Health SciencesDNA sequencingBiology (General)EcologyHigh-Throughput Nucleotide SequencingGenomicsDNA Neoplasm3. Good healthIdentification (information)OncologyComputational Theory and MathematicsModeling and SimulationMCF-7 CellsFemaleSequence AnalysisResearch ArticleBioinformaticsQH301-705.5Breast NeoplasmsGenomicsComputational biologyResearch and Analysis MethodsHuman Genomics03 medical and health sciencesCellular and Molecular NeuroscienceCancer GenomicsGenomic MedicineBreast CancerGeneticsDNA Barcoding TaxonomicHumansMolecular Biology TechniquesMolecular BiologyEcology Evolution Behavior and SystematicsWhole genome sequencingLinkage (software)Whole Genome SequencingGenome HumanDideoxy DNA sequencingGenetic Diseases InbornCancers and NeoplasmsBiology and Life SciencesComputational BiologyStatistical modelSequence Analysis DNARepetitive RegionsLogistic Models030104 developmental biologyGenomic Structural VariationHuman genomeSequence Alignment030217 neurology & neurosurgeryPLoS Computational Biology
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