Search results for " Mathematics"

showing 10 items of 10797 documents

Reactome graph database: Efficient access to complex pathway data

2018

Reactome is a free, open-source, open-data, curated and peer-reviewed knowledgebase of biomolecular pathways. One of its main priorities is to provide easy and efficient access to its high quality curated data. At present, biological pathway databases typically store their contents in relational databases. This limits access efficiency because there are performance issues associated with queries traversing highly interconnected data. The same data in a graph database can be queried more efficiently. Here we present the rationale behind the adoption of a graph database (Neo4j) as well as the new ContentService (REST API) that provides access to these data. The Neo4j graph database and its qu…

0301 basic medicineDatabases FactualComputer scienceData managementKnowledge BasesSocial SciencesInformation Storage and RetrievalNoSQLcomputer.software_genreComputer ApplicationsDatabase and Informatics MethodsUser-Computer Interface0302 clinical medicineKnowledge extractionPsychologyDatabase Searchinglcsh:QH301-705.5Data ManagementLanguageBiological dataEcologySystems BiologyGenomicsGenomic DatabasesComputational Theory and MathematicsModeling and SimulationWeb-Based ApplicationsGraph (abstract data type)Information TechnologyResearch ArticleComputer and Information SciencesRelational databaseQuery languageResearch and Analysis MethodsEcosystems03 medical and health sciencesCellular and Molecular NeuroscienceDatabasesGeneticsComputer GraphicsHumansMolecular BiologyEcology Evolution Behavior and SystematicsInternetInformation retrievalGraph databasebusiness.industryEcology and Environmental SciencesCognitive PsychologyBiology and Life SciencesComputational BiologyGenome AnalysisRelational Databases030104 developmental biologyBiological Databaseslcsh:Biology (General)Cognitive Sciencebusinesscomputer030217 neurology & neurosurgerySoftwareNeurosciencePLoS Computational Biology
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On the minimal number of singular fibers with non-compact Jacobians for families of curves over P1

2016

Abstract Let f : X → P 1 be a non-isotrivial family of semi-stable curves of genus g ≥ 1 defined over an algebraically closed field k. Denote by s nc the number of the singular fibers whose Jacobians are non-compact. We prove that s nc ≥ 5 if k = C and g ≥ 5 ; we also prove that s nc ≥ 4 if char ( k ) > 0 and the relative Jacobian of f is non-smooth.

0301 basic medicineDiscrete mathematicsPure mathematicsApplied MathematicsGeneral Mathematics010102 general mathematics01 natural sciences03 medical and health sciencessymbols.namesakeMathematics::Algebraic Geometry030104 developmental biologyGenus (mathematics)Jacobian matrix and determinantFamily of curvessymbols0101 mathematicsAlgebraically closed fieldMathematicsJournal de Mathématiques Pures et Appliquées
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Measuring spectrally-resolved information transfer.

2020

Information transfer, measured by transfer entropy, is a key component of distributed computation. It is therefore important to understand the pattern of information transfer in order to unravel the distributed computational algorithms of a system. Since in many natural systems distributed computation is thought to rely on rhythmic processes a frequency resolved measure of information transfer is highly desirable. Here, we present a novel algorithm, and its efficient implementation, to identify separately frequencies sending and receiving information in a network. Our approach relies on the invertible maximum overlap discrete wavelet transform (MODWT) for the creation of surrogate data in t…

0301 basic medicineDiscrete wavelet transformInformation transferComputer scienceEntropyInformation Theory0302 clinical medicineWaveletMathematical and Statistical TechniquesMedicine and Health SciencesBiology (General)Wavelet TransformsTemporal cortexMammalsEcologySystems BiologyApplied MathematicsSimulation and ModelingPhysicsWavelet transformMagnetoencephalographyEukaryotaBrainSignal FilteringComputational Theory and MathematicsModeling and SimulationPhysical SciencesVertebratesThermodynamicsEngineering and TechnologyWavelet transforms ; Algorithms ; Magnetoencephalography ; Information entropy ; Signal filtering ; Ferrets ; Permutation ; EntropyAnatomyAlgorithmInformation EntropyAlgorithmsResearch ArticleComputer and Information SciencesQH301-705.5PermutationWavelet AnalysisPrefrontal CortexResearch and Analysis Methods03 medical and health sciencesCellular and Molecular NeuroscienceGeneticsEntropy (information theory)AnimalsHumansInformation flow (information theory)Molecular BiologyEcology Evolution Behavior and SystematicsDiscrete MathematicsFerretsOrganismsBiology and Life Sciences030104 developmental biologyCombinatoricsSignal ProcessingAmniotesTransfer entropyZoologyMathematical Functions030217 neurology & neurosurgeryMathematicsPLoS computational biology
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Attraction in n ‐dimensional differential systems from network regulation theory

2018

0301 basic medicineDynamical systems theoryN dimensionalGeneral MathematicsGeneral Engineering02 engineering and technologyDifferential systemsAttraction03 medical and health sciences020210 optoelectronics & photonics030104 developmental biologyAttractor0202 electrical engineering electronic engineering information engineeringStatistical physicsMathematicsMathematical Methods in the Applied 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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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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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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On finite groups with many supersoluble subgroups

2017

[EN] The solubility of a finite group with less than 6 non-supersoluble subgroups is confirmed in the paper. Moreover we prove that a finite insoluble group has exactly 6 non-supersoluble subgroups if and only if it is isomorphic to A5 or SL2 (5). Furthermore, it is shown that a finite insoluble group has exactly 22 non-nilpotent subgroups if and only if it is isomorphic to A5 or SL2 (5). This confirms a conjecture of Zarrin (Arch Math (Basel) 99:201 206, 2012).

0301 basic medicineFinite groupConjectureSoluble groupGroup (mathematics)General Mathematics010102 general mathematicsGrups Teoria de01 natural sciencesCombinatoricsMathematics::Group Theory03 medical and health sciences030104 developmental biologyLocally finite groupSupersoluble subgroup0101 mathematicsFinite groupMathematics::Representation TheoryMATEMATICA APLICADAMatemàticaMathematics
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