Search results for "mathematics"

showing 10 items of 22031 documents

In vitro versus in vivo compositional landscapes of histone sequence preferences in eucaryotic genomes

2018

Abstract Motivation Although the nucleosome occupancy along a genome can be in part predicted by in vitro experiments, it has been recently observed that the chromatin organization presents important differences in vitro with respect to in vivo. Such differences mainly regard the hierarchical and regular structures of the nucleosome fiber, whose existence has long been assumed, and in part also observed in vitro, but that does not apparently occur in vivo. It is also well known that the DNA sequence has a role in determining the nucleosome occupancy. Therefore, an important issue is to understand if, and to what extent, the structural differences in the chromatin organization between in vit…

0301 basic medicineStatistics and Probabilityved/biology.organism_classification_rank.speciesComputational biologySaccharomyces cerevisiaeGenomeBiochemistryDNA sequencingHistones03 medical and health sciences0302 clinical medicineIn vivoComputational Theory and MathematicNucleosomeAnimalsModel organismCaenorhabditis elegansMolecular BiologySequence (medicine)GenomebiologySettore INF/01 - Informaticaved/biologyComputer Science ApplicationChromatinComputer Science ApplicationsChromatinNucleosomesComputational Mathematics030104 developmental biologyHistoneEukaryotic CellsComputational Theory and Mathematicsbiology.proteinComputer Vision and Pattern RecognitionSequence Analysis030217 neurology & neurosurgery
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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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QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computati…

2017

Background In previous reports, Marrero-Ponce et al. proposed algebraic formalisms for characterizing topological (2D) and chiral (2.5D) molecular features through atom- and bond-based ToMoCoMD-CARDD (acronym for Topological Molecular Computational Design-Computer Aided Rational Drug Design) molecular descriptors. These MDs codify molecular information based on the bilinear, quadratic and linear algebraic forms and the graph-theoretical electronic-density and edge-adjacency matrices in order to consider atom- and bond-based relations, respectively. These MDs have been successfully applied in the screening of chemical compounds of different therapeutic applications ranging from antimalarials…

0301 basic medicineTheoretical computer scienceComputer scienceBilinear interpolationLibrary and Information SciencesTopologyLinear01 natural scienceslcsh:ChemistryToMoCoMD-CARDDDouble stochastic03 medical and health sciencesMatrix (mathematics)SoftwareQuadratic equationMolecular descriptorAtom/bond-based molecular descriptorPhysical and Theoretical ChemistryAlgebraic numberSimple stochasticFree and open source softwarelcsh:T58.5-58.64lcsh:Information technologybusiness.industryQSARMutual probability matricesComputer Graphics and Computer-Aided DesignRotation formalisms in three dimensions0104 chemical sciencesComputer Science Applications010404 medicinal & biomolecular chemistry030104 developmental biologylcsh:QD1-999CheminformaticsBilinear and quadratic indicesbusinessNon-stochasticSoftwareQuBiLS-MASJournal of cheminformatics
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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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A detailed experimental study of a DNA computer with two endonucleases

2017

Abstract Great advances in biotechnology have allowed the construction of a computer from DNA. One of the proposed solutions is a biomolecular finite automaton, a simple two-state DNA computer without memory, which was presented by Ehud Shapiro’s group at the Weizmann Institute of Science. The main problem with this computer, in which biomolecules carry out logical operations, is its complexity – increasing the number of states of biomolecular automata. In this study, we constructed (in laboratory conditions) a six-state DNA computer that uses two endonucleases (e.g. AcuI and BbvI) and a ligase. We have presented a detailed experimental verification of its feasibility. We described the effe…

0301 basic medicineTheoretical computer scienceDNA LigasesComputer scienceCarry (arithmetic)Oligonucleotides0102 computer and information sciencesBioinformatics01 natural sciencesGeneral Biochemistry Genetics and Molecular Biologylaw.inventionAutomationComputers Molecular03 medical and health sciencesDNA computinglawA-DNADeoxyribonucleases Type II Site-Specificchemistry.chemical_classificationDNA ligaseFinite-state machineBase Sequencebiomolecular computers; DNA computing; finite automataProcess (computing)DNAModels TheoreticalEndonucleasesAutomaton030104 developmental biologychemistry010201 computation theory & mathematicsWord (computer architecture)Zeitschrift für Naturforschung C
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Biomolecular computers with multiple restriction enzymes

2017

Abstract The development of conventional, silicon-based computers has several limitations, including some related to the Heisenberg uncertainty principle and the von Neumann “bottleneck”. Biomolecular computers based on DNA and proteins are largely free of these disadvantages and, along with quantum computers, are reasonable alternatives to their conventional counterparts in some applications. The idea of a DNA computer proposed by Ehud Shapiro’s group at the Weizmann Institute of Science was developed using one restriction enzyme as hardware and DNA fragments (the transition molecules) as software and input/output signals. This computer represented a two-state two-symbol finite automaton t…

0301 basic medicineTheoretical computer scienceDNA computerlcsh:QH426-4700102 computer and information sciencesBiology01 natural scienceslaw.inventionrestriction enzymesGenomics and Bioinformatics03 medical and health sciencessymbols.namesakeSoftwareDNA computinglawGeneticsNondeterministic finite automatonMolecular BiologyQuantum computerFinite-state machinebusiness.industryConstruct (python library)bioinformaticsDNARestriction enzymelcsh:Genetics030104 developmental biology010201 computation theory & mathematicssymbolsbusinessVon Neumann architectureGenetics and Molecular 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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The Coat-Hanger Angle Sign

2016

An infant boy, the second child of healthy parents, was born at 35.5 weeks of gestation by cesarean delivery performed in emergency because of fetal bradycardia and polyhydramnios. At birth his weight was 2770 g (62nd percentile), length 48.3 cm (69th percentile), and head circumference 33.5 cm (64th percentile). Findings of a phys- ical examination showed a broad forehead, a depressed nasal bridge, anteverted nares, a long and protruding philtrum, a high arched palate, retrognathia, joint contractures, and an umbilical hernia. The Apgar score was 6/8 at 1/5 minutes. Because of progressive respiratory distress he required hos- pitalization and noninvasive support ventilation for the first 3…

0301 basic medicineThoraxMaleCoatPediatricsmedicine.medical_specialtyUpd(14)pat030105 genetics & heredityCHA; Kagami-Ogata syndrome; Upd(14)pat; Pediatrics Perinatology and Child HealthKAGAMI-OGATA SYNDROME03 medical and health sciencesmedicineHumansAbnormalities MultipleChromosomes Human Pair 14business.industryKagami-Ogata syndromeInfant NewbornInfantAnatomyThoraxUniparental Disomymedicine.diseaseInfant newbornUniparental disomyPediatrics Perinatology and Child HealthCHAbusinessSign (mathematics)
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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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