Search results for "Applied Mathematics"

showing 10 items of 4379 documents

Sustained oscillations in the MAP kinase cascade.

2016

Abstract The MAP kinase cascade is a network of enzymatic reactions arranged in layers. In each layer occurs a multiple futile cycle of phosphorylations. The fully phosphorylated substrate then serves as an enzyme for the layer below. This paper focuses on the existence of parameters for which Hopf bifurcations occur and generate periodic orbits. Furthermore it is explained how geometric singular perturbation theory allows to generalize results from simple models to more complex ones.

0301 basic medicineStatistics and ProbabilitySingular perturbationDynamical systems theoryMolecular Networks (q-bio.MN)Dynamical Systems (math.DS)MAP kinase cascadeGeneral Biochemistry Genetics and Molecular BiologyQuantitative Biology::Subcellular Processes03 medical and health sciencessymbols.namesakeSimple (abstract algebra)Classical Analysis and ODEs (math.CA)FOS: MathematicsQuantitative Biology - Molecular NetworksSustained oscillationsMathematics - Dynamical SystemsHopf bifurcationPhysics030102 biochemistry & molecular biologyGeneral Immunology and MicrobiologyFutile cycleApplied MathematicsQuantitative Biology::Molecular NetworksGeneral Medicine030104 developmental biologyClassical mechanicsMathematics - Classical Analysis and ODEsModeling and SimulationFOS: Biological sciencessymbolsPeriodic orbitsGeneral Agricultural and Biological SciencesMathematical biosciences
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On the origin of mitosing cells: A historical appraisal of Lynn Margulis endosymbiotic theory

2017

Although for a long-time symbiosis was considered to be quite rare and with no role in evolutionary processes, Lynn Margulis demonstrated that endosymbiotic events played a key role in the origin and evolution of eukaryotic cells. Starting with her seminal assay in the Journal of Theoretical Biology in 1967 (authored as Lynn Sagan), her lifelong work on eukaryogenesis and the role of symbiosis in evolution stands as a valid and authoritative contribution to science. As was quick to acknowledge, she was not the first to discuss the significance of symbiosis to explain the origin of mitochondria and chloroplasts, but no one else had done it to her extent and depth, nor had anyone provided a v…

0301 basic medicineStatistics and ProbabilitySymbiogenesisChloroplastsBiologyGenomeGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineSymbiosisSymbiosisGeneticsGenomeGeneral Immunology and MicrobiologyApplied MathematicsEukaryotaGeneral MedicineBiological evolutionHistory 20th CenturyBiological EvolutionMitochondria030104 developmental biologyEvolutionary biologyModeling and SimulationGeneral Agricultural and Biological SciencesMetabolic Networks and Pathways030217 neurology & neurosurgeryJournal of Theoretical Biology
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Evolutionary distances corrected for purifying selection and ancestral polymorphisms.

2019

Abstract Evolutionary distance formulas that take into account effects due to ancestral polymorphisms and purifying selection are obtained on the basis of the full solution of Jukes–Cantor and Kimura DNA substitution models. In the case of purifying selection two different methods are developed. It is shown that avoiding the dimensional reduction implicitly carried out in the conventional model solving is instrumental to incorporate the quoted effects into the formalism. The problem of estimating the numerical values of the model parameters, as well as those of the correction terms, is not addressed.

0301 basic medicineStatistics and ProbabilityTime FactorsADNModel parametersGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesNegative selection0302 clinical medicineQuantitative Biology::Populations and EvolutionStatistical physicsSelection GeneticMolecular clockPhylogenyMathematicsPolymorphism GeneticGeneral Immunology and MicrobiologyApplied MathematicsGeneral MedicineModels biològicsQuantitative Biology::GenomicsBiological EvolutionFormalism (philosophy of mathematics)030104 developmental biologyDimensional reductionModeling and SimulationMutationGeneral Agricultural and Biological Sciences030217 neurology & neurosurgeryEvolució (Biologia)Journal of theoretical biology
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Collective Cell Migration in a Fibrous Environment: A Hybrid Multiscale Modelling Approach

2021

International audience; The specific structure of the extracellular matrix (ECM), and in particular the density and orientation of collagen fibres, plays an important role in the evolution of solid cancers. While many experimental studies discussed the role of ECM in individual and collective cell migration, there are still unanswered questions about the impact of nonlocal cell sensing of other cells on the overall shape of tumour aggregation and its migration type. There are also unanswered questions about the migration and spread of tumour that arises at the boundary between different tissues with different collagen fibre orientations. To address these questions, in this study we develop …

0301 basic medicineStatistics and Probabilitymulti-scale hybrid mathematical modelMaterials sciencecell migration[SDV.CAN]Life Sciences [q-bio]/Cancercontinuous cell-extracellular matrix interactionsQA273-280Articlenumerical simulationsExtracellular matrix03 medical and health sciences0302 clinical medicineCollagen fibres[SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB][NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]T57-57.97Applied mathematics. Quantitative methodsApplied MathematicsCollective cell migrationCell migrationTumour invasionCollagen fibre030104 developmental biologyorientation of extracellular matrix fibresagent based discrete cell-cell interactionsContinuous fieldBiological systemProbabilities. Mathematical statistics030217 neurology & neurosurgeryFrontiers in Applied Mathematics and Statistics
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Comparison of Two Solid-Phase Extraction (SPE) Methods for the Identification and Quantification of Porcine Retinal Protein Markers by LC-MS/MS

2018

Proper sample preparation protocols represent a critical step for liquid chromatography-mass spectrometry (LC-MS)-based proteomic study designs and influence the speed, performance and automation of high-throughput data acquisition. The main objective of this study was to compare two commercial solid-phase extraction (SPE)-based sample preparation protocols (comprising SOLA&micro

0301 basic medicineSwineGeneral Mathematicssample clean-upProteomicsMass spectrometry01 natural sciencesCatalysisRetinaArticlelcsh:ChemistryInorganic Chemistry03 medical and health scienceschemistry.chemical_compoundglaucoma animal modelZIPTIP® C18 pipette tipsTandem Mass SpectrometryLiquid chromatography–mass spectrometryTrifluoroacetic acidAnimalsSample preparationSolid phase extractionPhysical and Theoretical ChemistryEye Proteinslcsh:QH301-705.5Molecular BiologySpectroscopymass spectrometryZIPTIP<sup>®</sup> C18 pipette tipsReproducibilityChromatographyChemistryApplied Mathematics010401 analytical chemistryOrganic ChemistrySolid Phase ExtractionExtraction (chemistry)PipettebiomarkersGlaucomaGeneral Medicine0104 chemical sciencesComputer Science Applications030104 developmental biologylcsh:Biology (General)lcsh:QD1-999SOLAμTM HRP SPE spin platesPeptidesChromatography LiquidInternational Journal of Molecular Sciences
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Parallel and Space-Efficient Construction of Burrows-Wheeler Transform and Suffix Array for Big Genome Data

2016

Next-generation sequencing technologies have led to the sequencing of more and more genomes, propelling related research into the era of big data. In this paper, we present ParaBWT, a parallelized Burrows-Wheeler transform (BWT) and suffix array construction algorithm for big genome data. In ParaBWT, we have investigated a progressive construction approach to constructing the BWT of single genome sequences in linear space complexity, but with a small constant factor. This approach has been further parallelized using multi-threading based on a master-slave coprocessing model. After gaining the BWT, the suffix array is constructed in a memory-efficient manner. The performance of ParaBWT has b…

0301 basic medicineTheoretical computer scienceBurrows–Wheeler transformComputer scienceGenomicsData_CODINGANDINFORMATIONTHEORYParallel computingGenomelaw.invention03 medical and health scienceslawGeneticsHumansEnsemblMulti-core processorApplied MathematicsLinear spaceSuffix arrayChromosome MappingHigh-Throughput Nucleotide SequencingGenomicsSequence Analysis DNA030104 developmental biologyAlgorithmsBiotechnologyReference genomeIEEE/ACM Transactions on Computational Biology and Bioinformatics
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Identification of control targets in Boolean molecular network models via computational algebra

2015

Motivation: Many problems in biomedicine and other areas of the life sciences can be characterized as control problems, with the goal of finding strategies to change a disease or otherwise undesirable state of a biological system into another, more desirable, state through an intervention, such as a drug or other therapeutic treatment. The identification of such strategies is typically based on a mathematical model of the process to be altered through targeted control inputs. This paper focuses on processes at the molecular level that determine the state of an individual cell, involving signaling or gene regulation. The mathematical model type considered is that of Boolean networks. The pot…

0301 basic medicineTheoretical computer scienceComputer scienceProcess (engineering)Molecular Networks (q-bio.MN)Systems biologySystem of polynomial equationsENCODEBoolean networksSet (abstract data type)03 medical and health sciences0302 clinical medicineStructural BiologyModelling and SimulationQuantitative Biology - Molecular NetworksMolecular BiologyEdge deletionsApplied MathematicsComputer Science ApplicationsNetwork controlIdentification (information)030104 developmental biologyBoolean networkBlocking transitionsFOS: Biological sciencesModeling and SimulationAlgebraic controlState (computer science)030217 neurology & neurosurgeryResearch ArticleBMC Systems Biology
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Accelerating metagenomic read classification on CUDA-enabled GPUs.

2016

Metagenomic sequencing studies are becoming increasingly popular with prominent examples including the sequencing of human microbiomes and diverse environments. A fundamental computational problem in this context is read classification; i.e. the assignment of each read to a taxonomic label. Due to the large number of reads produced by modern high-throughput sequencing technologies and the rapidly increasing number of available reference genomes software tools for fast and accurate metagenomic read classification are urgently needed. We present cuCLARK, a read-level classifier for CUDA-enabled GPUs, based on the fast and accurate classification of metagenomic sequences using reduced k-mers (…

0301 basic medicineTheoretical computer scienceWorkstationGPUsComputer scienceContext (language use)CUDAParallel computingBiochemistryGenomelaw.invention03 medical and health sciencesCUDAUser-Computer Interface0302 clinical medicineStructural BiologylawTaxonomic assignmentHumansMicrobiomeMolecular BiologyInternetXeonApplied MathematicsHigh-Throughput Nucleotide SequencingSequence Analysis DNAExact k-mer matchingComputer Science Applications030104 developmental biologyTitan (supercomputer)Metagenomics030220 oncology & carcinogenesisMetagenomicsDNA microarraySoftwareBMC bioinformatics
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Deep learning models for bacteria taxonomic classification of metagenomic data.

2018

Background An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered as a barcode for bacteria classification at the genus level, but till now it is hard to identify the correct composition of metagenomic data from RNA-seq short-read data. 16S short-read data are generated using two next generation sequencing technologies, i.e. whole genome shotgun (WGS) and amplicon (AMP); typically, the former is filtered to obtain short-reads belonging to a 16S shotgun (SG), whereas the latter take into account only some specific 16S hypervariable regions.…

0301 basic medicineTime FactorsDBNComputer scienceBiochemistryStructural BiologyRNA Ribosomal 16SDatabases Geneticlcsh:QH301-705.5Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionibiologySettore INF/01 - InformaticaShotgun sequencingApplied MathematicsAmpliconClassificationComputer Science Applicationslcsh:R858-859.7DNA microarrayShotgunAlgorithmsCNN030106 microbiologyk-mer representationlcsh:Computer applications to medicine. Medical informaticsDNA sequencing03 medical and health sciencesMetagenomicDeep LearningMolecular BiologyBacteriaModels GeneticPhylumbusiness.industryDeep learningResearchReproducibility of ResultsPattern recognitionBiological classification16S ribosomal RNAbiology.organism_classificationAmpliconHypervariable region030104 developmental biologyTaxonlcsh:Biology (General)MetagenomicsMetagenomeArtificial intelligenceMetagenomicsNeural Networks ComputerbusinessClassifier (UML)BacteriaBMC bioinformatics
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VISMapper: ultra-fast exhaustive cartography of viral insertion sites for gene therapy

2017

The possibility of integrating viral vectors to become a persistent part of the host genome makes them a crucial element of clinical gene therapy. However, viral integration has associated risks, such as the unintentional activation of oncogenes that can result in cancer. Therefore, the analysis of integration sites of retroviral vectors is a crucial step in developing safer vectors for therapeutic use. Here we present VISMapper, a vector integration site analysis web server, to analyze next-generation sequencing data for retroviral vector integration sites. VISMapper can be found at: http://vismapper.babelomics.org . Because it uses novel mapping algorithms VISMapper is remarkably faster t…

0301 basic medicineWeb serverVirus IntegrationGenetic enhancementGenetic VectorsContext (language use)Computational biologyBiologyGenoma humàlcsh:Computer applications to medicine. Medical informaticscomputer.software_genreBiochemistryGenome viewerViral vectorViral integrationUser-Computer Interface03 medical and health sciencesGene therapyStructural BiologySAFERViral insertionSequence mappingHumansUltra fastGens Mapatgelcsh:QH301-705.5Molecular BiologyGeneticsInternetBase SequenceApplied MathematicsHigh-Throughput Nucleotide SequencingGenetic Therapy3. Good healthComputer Science Applications030104 developmental biologylcsh:Biology (General)lcsh:R858-859.7Viral integrationDNA microarraycomputerSoftware
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