Search results for "sequencing"

showing 10 items of 1087 documents

The intrinsic combinatorial organization and information theoretic content of a sequence are correlated to the DNA encoded nucleosome organization of…

2015

Abstract Motivation: Thanks to research spanning nearly 30 years, two major models have emerged that account for nucleosome organization in chromatin: statistical and sequence specific. The first is based on elegant, easy to compute, closed-form mathematical formulas that make no assumptions of the physical and chemical properties of the underlying DNA sequence. Moreover, they need no training on the data for their computation. The latter is based on some sequence regularities but, as opposed to the statistical model, it lacks the same type of closed-form formulas that, in this case, should be based on the DNA sequence only. Results: We contribute to close this important methodological gap …

0301 basic medicineStatistics and ProbabilityNucleosome organizationComputational biologyBiologyType (model theory)BiochemistryGenomeDNA sequencing03 medical and health sciencesComputational Theory and MathematicNucleosomeMolecular BiologySequence (medicine)GeneticsGenomeSettore INF/01 - InformaticaEukaryotaComputer Science Applications1707 Computer Vision and Pattern RecognitionStatistical modelDNAChromatinNucleosomesComputer Science ApplicationsChromatinSettore BIO/18 - GeneticaComputational Mathematics030104 developmental biologyComputational Theory and MathematicsComputational MathematicBioinformatics
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AFS: identification and quantification of species composition by metagenomic sequencing

2017

Abstract Summary DNA-based methods to detect and quantify taxon composition in biological materials are often based on species-specific polymerase chain reaction, limited to detecting species targeted by the assay. Next-generation sequencing overcomes this drawback by untargeted shotgun sequencing of whole metagenomes at affordable cost. Here we present AFS, a software pipeline for quantification of species composition in food. AFS uses metagenomic shotgun sequencing and sequence read counting to infer species proportions. Using Illumina data from a reference sausage comprising four species, we reveal that AFS is independent of the sequencing assay and library preparation protocol. Cost-sav…

0301 basic medicineStatistics and ProbabilitySequence analysisLibrary preparationComputational biologyBiologyBioinformaticsBiochemistrylaw.invention03 medical and health sciences0404 agricultural biotechnologylawMolecular BiologyPolymerase chain reactionShotgun sequencingHigh-Throughput Nucleotide SequencingSequence Analysis DNA04 agricultural and veterinary sciencesAccession number (bioinformatics)040401 food scienceBiological materialsComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsMetagenomicsFood MicrobiologyIdentification (biology)MetagenomicsSoftwareBioinformatics
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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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Do next-generation sequencing results drive diagnostic and therapeutic decisions in MDS?

2019

Este artículo se encuentra disponible en la siguiente URL: https://ashpublications.org/bloodadvances/article/3/21/3454/422749/Do-next-generation-sequencing-results-drive

0301 basic medicineSíndromes mielodisplásicos - Aspectos moleculares.Clinical Decision-MakingMEDLINEComputational biologyDNA sequencing03 medical and health sciences0302 clinical medicineText miningHumansMedicineGenetic Predisposition to DiseaseSangre - Células - Aspectos moleculares.Molecular Targeted TherapyGenes.Genetic Association StudiesBlood cells - Molecular aspects.business.industryDecision TreesDisease ManagementHigh-Throughput Nucleotide SequencingGenomicsHematologyPrognosisCombined Modality TherapyMyelodysplastic syndrome - Molecular aspects.030104 developmental biologyMyelodysplastic Syndromes030220 oncology & carcinogenesisMutationPoint-CounterpointMolecular biology.Biología molecular.businessBiomarkersBlood Advances
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Targeting Neoepitopes to Treat Solid Malignancies: Immunosurgery

2020

Successful outcome of immune checkpoint blockade in patients with solid cancers is in part associated with a high tumor mutational burden (TMB) and the recognition of private neoantigens by T-cells. The quality and quantity of target recognition is determined by the repertoire of ‘neoepitope’-specific T-cell receptors (TCRs) in tumor-infiltrating lymphocytes (TIL), or peripheral T-cells. Interferon gamma (IFN-γ), produced by T-cells and other immune cells, is essential for controlling proliferation of transformed cells, induction of apoptosis and enhancing human leukocyte antigen (HLA) expression, thereby increasing immunogenicity of cancer cells. TCR αβ-dependent therapies should account f…

0301 basic medicineT-Lymphocytesmedicine.medical_treatmentprecision medicineImmunologyEpitopes T-LymphocyteReviewHuman leukocyte antigenBiologyMajor histocompatibility complexCancer Vaccines03 medical and health sciencesLymphocytes Tumor-Infiltrating0302 clinical medicineImmune systemAntigenAntigens NeoplasmantigensNeoplasmsmedicineAnimalsHumansImmunology and AllergyT-cell receptorTumor microenvironmentneoepitopesWhole Genome SequencingT-cellsT-cell receptorComputational BiologyImmunotherapyTILRC581-607vaccinationImmune checkpoint030104 developmental biology030220 oncology & carcinogenesisCancer researchbiology.proteinimmunotherapyImmunologic diseases. AllergyFrontiers in Immunology
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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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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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Whole genome sequencing-based analysis of tuberculosis (TB) in migrants: rapid tools for cross-border surveillance and to distinguish between recent …

2019

14 páginas, 7 figuras

0301 basic medicineTuberculosisEpidemiology030106 microbiologyPopulationSingle-nucleotide polymorphismImmigrationMinisatellite RepeatsBiologyPolymerase Chain ReactionPolymorphism Single NucleotideMigrantslaw.inventionCross-border surveillance03 medical and health scienceslawVirologymedicineHumansTransmissionTuberculosiseducationGenotypingRetrospective StudiesWhole genome sequencingTransients and Migrantseducation.field_of_studySurveillanceMolecular epidemiologyPublic Health Environmental and Occupational HealthMycobacterium tuberculosisEmigration and Immigrationmedicine.diseaseImportationCountry of origin3. Good healthBacterial Typing Techniques030104 developmental biologyTransmission (mechanics)TBEvolutionary biologySpainMolecular epidemiologyWhole genome sequencingSentinel SurveillanceWGSMultilocus Sequence Typing
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Characterization of Bacillus thuringiensis isolates by their insecticidal activity and their production of Cry and Vip3 proteins.

2018

WOS: 000449027600099 PubMed ID: 30383811 Bacillus thuringiensis (Bt) constitutes the active ingredient of many successful bioinsecticides used in agriculture. In the present study, the genetic diversity and toxicity of Bt isolates was investigated by characterization of native isolates originating from soil, fig leaves and fruits from a Turkish collection. Among a total of 80 Bt isolates, 18 of them were found carrying a vip3 gene (in 23% of total), which were further selected. Insecticidal activity of spore/crystal mixtures and their supernatants showed that some of the Bt isolates had significantly more toxicity against some lepidopteran species than the HD1 reference strain. Five isolate…

0301 basic medicineTurkeyProtein ExpressionBacillus Thuringiensislcsh:MedicineArtificial Gene Amplification and ExtensionBacillusProtein SequencingMothsToxicologyPathology and Laboratory MedicinePolymerase Chain ReactionDatabase and Informatics MethodsBacillus thuringiensisMedicine and Health SciencesToxinslcsh:ScienceMaterialsSoil MicrobiologyMultidisciplinaryBacterial PathogensMedical MicrobiologyPhysical SciencesPathogensSequence AnalysisResearch ArticleSequence analysisBioinformatics030106 microbiologyBacterial ToxinsMaterials ScienceToxic AgentsSequence DatabasesBiologySpodopteraHelicoverpa armigeraResearch and Analysis MethodsCrystalsMicrobiologyMicrobiology03 medical and health sciencesBacterial ProteinsGene Expression and Vector TechniquesAnimalsPest Control BiologicalMolecular Biology TechniquesSequencing TechniquesGeneMolecular BiologyMicrobial PathogensPlant DiseasesGenetic diversityMolecular Biology Assays and Analysis TechniquesToxicityBacterialcsh:RfungiOrganismsBiology and Life Sciencesbiology.organism_classificationFicusSporePlant Leaves030104 developmental biologyBiological DatabasesCry1AcSusceptibilityFruitlcsh:QPloS one
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