Search results for "Modeling and Simulation"

showing 10 items of 1561 documents

parSRA: A framework for the parallel execution of short read aligners on compute clusters

2018

The growth of next generation sequencing datasets poses as a challenge to the alignment of reads to reference genomes in terms of both accuracy and speed. In this work we present parSRA, a parallel framework to accelerate the execution of existing short read aligners on distributed-memory systems. parSRA can be used to parallelize a variety of short read alignment tools installed in the system without any modification to their source code. We show that our framework provides good scalability on a compute cluster for accelerating the popular BWA-MEM and Bowtie2 aligners. On average, it is able to accelerate sequence alignments on 16 64-core nodes (in total, 1024 cores) with speedup of 10.48 …

0301 basic medicineSource codeSpeedupGeneral Computer ScienceComputer sciencemedia_common.quotation_subjectParallel computingSupercomputerTheoretical Computer Science03 medical and health sciences030104 developmental biology0302 clinical medicine030220 oncology & carcinogenesisModeling and SimulationComputer clusterScalabilityFuse (electrical)Node (circuits)Partitioned global address spacemedia_commonJournal of Computational Science
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Protein-protein interactions can be predicted using coiled coil co-evolution patterns

2016

AbstractProtein-protein interactions are sometimes mediated by coiled coil structures. The evolutionary conservation of interacting orthologs in different species, along with the presence or absence of coiled coils in them, may help in the prediction of interacting pairs. Here, we illustrate how the presence of coiled coils in a protein can be exploited as a potential indicator for its interaction with another protein with coiled coils. The prediction capability of our strategy improves when restricting our dataset to highly reliable, known protein-protein interactions. Our study of the co-evolution of coiled coils demonstrates that pairs of interacting proteins can be distinguished from no…

0301 basic medicineStatistics and ProbabilityComputational biologyCorrelated evolutionGeneral Biochemistry Genetics and Molecular BiologyProtein Structure SecondaryProtein–protein interactionConserved sequenceEvolution Molecular03 medical and health sciencesProtein-protein interactionModelling and SimulationImmunology and Microbiology(all)Coiled coilGeneticsCoiled coilPhysicsMedicine(all)030102 biochemistry & molecular biologyGeneral Immunology and MicrobiologyAgricultural and Biological Sciences(all)Models GeneticBiochemistry Genetics and Molecular Biology(all)Applied MathematicsA proteinProteinsGeneral Medicine030104 developmental biologyModeling and SimulationGeneral Agricultural and Biological SciencesJournal of Theoretical Biology
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Evidence for the implication of the histone code in building the genome structure

2018

International audience; Histones are punctuated with small chemical modifications that alter their interaction with DNA. One attractive hypothesis stipulates that certain combinations of these histone modifications may function, alone or together, as a part of a predictive histone code to provide ground rules for chromatin folding. We consider four features that relate histone modifications to chromatin folding: charge neutralisation, molecular specificity, robustness and evolvability. Next, we present evidence for the association among different histone modifications at various levels of chromatin organisation and show how these relationships relate to function such as transcription, repli…

0301 basic medicineStatistics and ProbabilityComputational biologyGeneral Biochemistry Genetics and Molecular BiologyHistones03 medical and health scienceschemistry.chemical_compoundTranscription (biology)AnimalsHumansHistone codeNucleosome[PHYS]Physics [physics]biologyGenome HumanApplied MathematicsRobustness (evolution)General MedicineChromatinChromatinHistone Code030104 developmental biologyHistonechemistryModeling and Simulationbiology.proteinHuman genomeDNABiosystems
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The adaptive value of tandem communication in ants:Insights from an agent-based model

2021

AbstractSocial animals often share information about the location of resources, such as a food source or a new nest-site. One well-studied communication strategy in ants is tandem running, whereby a leader guides a recruit to a resource. Tandem running is considered an example of animal teaching because a leader adjusts her behaviour and invests time to help another ant to learn the location of a resource more efficiently. Tandem running also has costs, such as waiting inside the nest for a leader and a reduced walking speed. Whether and when these costs outweigh the benefits of tandem running is not well understood. We developed an agent-based simulation model to investigate the conditions…

0301 basic medicineStatistics and ProbabilityForage (honey bee)Adaptive valueOperations researchComputer scienceForagingGeneral Biochemistry Genetics and Molecular BiologyRunning03 medical and health sciences0302 clinical medicineResource (project management)NestAnimalsLearningAgent-based modelGeneral Immunology and MicrobiologyTandemAntsCommunicationApplied MathematicsGeneral MedicineBeesVariable (computer science)030104 developmental biologyModeling and SimulationSocial animalFemaleGeneral Agricultural and Biological Sciences030217 neurology & neurosurgeryTandem running
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A generalization of Kingman's model of selection and mutation and the Lenski experiment.

2017

Kingman’s model of selection and mutation studies the limit type value distribution in an asexual population of discrete generations and infinite size undergoing selection and mutation. This paper generalizes the model to analyze the long-term evolution of Escherichia. coli in Lenski experiment. Weak assumptions for fitness functions are proposed and the mutation mechanism is the same as in Kingman’s model. General macroscopic epistasis are designable through fitness functions. Convergence to the unique limit type distribution is obtained.

0301 basic medicineStatistics and ProbabilityGeneralizationPopulationBiology01 natural sciencesModels BiologicalGeneral Biochemistry Genetics and Molecular Biology010104 statistics & probability03 medical and health sciencesStatisticsEscherichia coliApplied mathematicsQuantitative Biology::Populations and EvolutionLimit (mathematics)0101 mathematicsSelection GeneticeducationSelection (genetic algorithm)education.field_of_studyFitness functionGeneral Immunology and MicrobiologyApplied MathematicsGeneral MedicineQuantitative Biology::GenomicsBiological Evolution030104 developmental biologyDistribution (mathematics)Modeling and SimulationMutation (genetic algorithm)MutationEpistasisGeneral Agricultural and Biological SciencesMathematical biosciences
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Nature lessons: the whitefly bacterial endosymbiont is a minimal amino acid factory with unusual energetics

2016

Reductive genome evolution is a universal phenomenon observed in endosymbiotic bacteria in insects. As the genome reduces its size and irreversibly losses coding genes, the functionalities of the cell system, including the energetics processes, are more restricted. Several energetic pathways can also be lost. How do these reduced metabolic networks sustain the energy needs of the system? Among the bacteria with reduced genomes Candidatus Portiera aleyrodidarum, obligate endosymbiont of whiteflies, represents an extreme case since lacks several key mechanisms for ATP generation. Thus, to analyze the cell energetics in this system, a genome-scale metabolic model of this endosymbiont was const…

0301 basic medicineStatistics and ProbabilityGenome evolutionAnabolismSystems biology030106 microbiologyCell EnergeticsBiologyModels BiologicalGenomeGeneral Biochemistry Genetics and Molecular BiologyHemiptera03 medical and health sciencesMetabolic flux analysisAnimalsAmino AcidsSymbiosisGeneGenome sizeCarotenoidchemistry.chemical_classificationGeneral Immunology and MicrobiologyObligateApplied MathematicsEnergeticsGeneral MedicineMetabolismbeta Carotenebiology.organism_classificationMetabolic Flux AnalysisAmino acidHalomonadaceae030104 developmental biologychemistryBiochemistryModeling and SimulationEnergy MetabolismGeneral Agricultural and Biological SciencesGenome BacterialMetabolic Networks and PathwaysBacteria
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panISa: ab initio detection of insertion sequences in bacterial genomes from short read sequence data.

2018

Abstract Motivation The advent of next-generation sequencing has boosted the analysis of bacterial genome evolution. Insertion sequence (IS) elements play a key role in prokaryotic genome organization and evolution, but their repetitions in genomes complicate their detection from short-read data. Results PanISa is a software pipeline that identifies IS insertions ab initio in bacterial genomes from short-read data. It is a highly sensitive and precise tool based on the detection of read-mapping patterns at the insertion site. PanISa performs better than existing IS detection systems as it is based on a database-free approach. We applied it to a high-risk clone lineage of the pathogenic spec…

0301 basic medicineStatistics and ProbabilityLineage (genetic)Computer scienceAb initioComputational biologyBacterial genome size[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]BiochemistryGenome[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]Insertion sequenceMolecular BiologyGenomic organizationHigh-Throughput Nucleotide SequencingSequence Analysis DNA[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM][SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/BacteriologyPipeline (software)[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and Mathematics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]DNA Transposable Elements[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Genome BacterialSoftwareBioinformatics (Oxford, England)
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Mathematical investigation of innate immune responses to lung cancer: The role of macrophages with mixed phenotypes

2021

Abstract Macrophages’ role in the evolution of solid tumours is a well accepted fact, with the M1-like macrophages having an anti-tumour role and the M2-like macrophages having a pro-tumour role. Despite the fact that some clinical studies on lung tumours have emphasised also the presence of macrophages with mixed M1 and M2 phenotypes in addition to macrophages with distinct phenotypes, the majority of studies still use the distinct M1-M2 classification to predict the evolution of tumours and patient survival. In this theoretical study we use a mathematical modelling and computational approach to investigate the role of macrophages with mixed phenotype on growth/control/elimination of lung …

0301 basic medicineStatistics and ProbabilityLung Neoplasms[SDV]Life Sciences [q-bio]BiologyGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicinemedicineMacrophageHumans[NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]Lung cancerComputingMilieux_MISCELLANEOUSInnate immune systemGeneral Immunology and MicrobiologyApplied MathematicsMacrophagesPatient survivalGeneral MedicineModels Theoreticalmedicine.diseasePhenotypeImmunity Innate030104 developmental biologyPhenotypeModeling and SimulationCancer researchLung tumoursGeneral Agricultural and Biological Sciences030217 neurology & neurosurgery
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A graphical model selection tool for mixed models

2017

Model selection can be defined as the task of estimating the performance of different models in order to choose the most parsimonious one, among a potentially very large set of candidate statistical models. We propose a graphical representation to be considered as an extension to the class of mixed models of the deviance plot proposed in the literature within the framework of classical and generalized linear models. This graphical representation allows, once a reduced number of models have been selected, to identify important covariates focusing only on the fixed effects component, assuming the random part properly specified. Nevertheless, we suggest also a standalone figure representing th…

0301 basic medicineStatistics and ProbabilityMixed modelModel selectionFeature selection01 natural sciencesTask (project management)Deviance plot Penalized Weighted Residual Sum of Squares Variable selection010104 statistics & probability03 medical and health sciences030104 developmental biologyModeling and SimulationStatisticsGraphical model0101 mathematicsSelection (genetic algorithm)Mathematics
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Reverse screening on indicaxanthin from Opuntia ficus-indica as natural chemoactive and chemopreventive agent

2018

Indicaxanthin is a bioactive and bioavailable betalain pigment extracted from Opuntia ficus indica fruits. Indicaxanthin has pharmacokinetic proprieties, rarely found in other phytochemicals, and it has been demonstrated that it provides a broad-spectrum of pharmaceutical activity, exerting anti-proliferative, anti-inflammatory, and neuromodulator effects. The discovery of the Indicaxanthin physiological targets plays an important role in understanding the biochemical mechanism. In this study, combined reverse pharmacophore mapping, reverse docking, and text-based database search identified Inositol Trisphosphate 3-Kinase (ITP3K-A), Glutamate carboxypeptidase II (GCPII), Leukotriene-A4 hydr…

0301 basic medicineStatistics and ProbabilityMolecular dynamicPyridinesKainate receptorIndicaxanthinPhytochemical01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyDocking03 medical and health scienceschemistry.chemical_compoundNeoplasmsGlutamate carboxypeptidase IIData MiningHumansEnzyme InhibitorsMM-GBSAPharmacophore modelingBinding SitesGeneral Immunology and MicrobiologyReverse screening010405 organic chemistryAnti-cancerApplied MathematicsPhosphodiesteraseOpuntiaPhosphoserine phosphataseInositol trisphosphateGeneral MedicineAntineoplastic Agents Phytogenic0104 chemical sciencesBetaxanthinsNeoplasm ProteinsNeuromodulatorMolecular Docking SimulationAnti-inflammatory agent030104 developmental biologychemistryBiochemistryDocking (molecular)Modeling and SimulationPharmacophoreGeneral Agricultural and Biological SciencesIndicaxanthin
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