Search results for "DNA sequencing"

showing 10 items of 237 documents

Eight novel variants in the SLC34A2 gene in pulmonary alveolar microlithiasis

2020

BackgroundPulmonary alveolar microlithiasis (PAM) is caused by genetic variants in the SLC34A2 gene, which encodes the sodium-dependent phosphate transport protein 2B (NaPi-2b). PAM is characterised by deposition of calcium phosphate concretions (microliths) in the alveoli leading to pulmonary dysfunction. The variant spectrum of SLC34A2 has not been well investigated and it is not yet known whether a genotype–phenotype correlation exists.MethodsWe collected DNA from 14 patients with PAM and four relatives, and analysed the coding regions of SLC34A2 by direct DNA sequencing. To determine the phenotype characteristics, clinical data were collected and a severity score was created for each va…

0301 basic medicinePulmonary and Respiratory MedicineGeneticsbusiness.industrymedicine.diseasePhenotypeAsymptomaticDNA sequencing03 medical and health sciences030104 developmental biology0302 clinical medicine030228 respiratory systemPulmonary alveolar microlithiasismedicineCoding regionMissense mutationAllelemedicine.symptombusinessGene
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New Insights into the Genome Organization of Yeast Killer Viruses Based on “Atypical” Killer Strains Characterized by High-Throughput Sequencing

2017

Viral M-dsRNAs encoding yeast killer toxins share similar genomic organization, but no overall sequence identity. The dsRNA full-length sequences of several known M-viruses either have yet to be completed, or they were shorter than estimated by agarose gel electrophoresis. High-throughput sequencing was used to analyze some M-dsRNAs previously sequenced by traditional techniques, and new dsRNAs from atypical killer strains of Saccharomyces cerevisiae and Torulaspora delbrueckii. All dsRNAs expected to be present in a given yeast strain were reliably detected and sequenced, and the previously-known sequences were confirmed. The few discrepancies between viral variants were mostly located aro…

0301 basic medicineRNA recombinationGenotypeHealth Toxicology and Mutagenesis030106 microbiologySaccharomyces cerevisiaelcsh:MedicineTorulaspora delbrueckiidsRNAGenome ViralSaccharomyces cerevisiaeToxicologyGenomeDNA sequencingArticle<i>Saccharomyces cerevisiae</i>; <i>Torulaspora delbrueckii</i>; killer; virus genome; dsRNA; sequencing; HTS; RNA recombination; phylogenetic originphylogenetic origin03 medical and health sciencesTorulaspora delbrueckiiGenomic organizationGeneticsbiologyPhylogenetic treelcsh:RHigh-Throughput Nucleotide SequencingTorulasporasequencingbiology.organism_classificationYeastTorulasporaKiller Factors Yeast030104 developmental biologyPhenotypevirus genomeVirusesRNA ViralHTSkillerToxins
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Evaluation of the Possibility to Detect Circulating Tumor DNA From Pituitary Adenoma

2019

Objective: Circulating free DNA (cfDNA) in general and circulating tumor DNA (ctDNA) in particular is becoming an increasingly used form of liquid biopsy biomarkers. In this study, we are investigating the ability to detect ctDNA from the plasma of pituitary adenoma (PA) patients. Design: Tumor tissue samples were obtained from planed PA resections, before which blood plasma samples were taken. Somatic variants found in PA tissue samples were evaluated in related cfDNA, isolated from plasma samples. Methods: Sanger sequencing, as well as previously obtained whole-exome sequencing data, were used to evaluate somatic variants composition in tumor tissue samples. cfDNA was isolated from the sa…

0301 basic medicineSomatic cellEndocrinology Diabetes and Metabolism030209 endocrinology & metabolismpituitary adenomaBiologylcsh:Diseases of the endocrine glands. Clinical endocrinologyDNA sequencing03 medical and health sciencessymbols.namesakeGNAS0302 clinical medicineEndocrinologyBlood plasmaTaqManGNAS complex locusLiquid biopsyOriginal ResearchSanger sequencingcirculating tumor DNAlcsh:RC648-665AmpliconMolecular biology030104 developmental biologybiology.proteinsymbolsnext-generation sequencingcompetitive allele-specific TaqManFrontiers in Endocrinology
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ParDRe: faster parallel duplicated reads removal tool for sequencing studies

2016

This is a pre-copyedited, author-produced version of an article accepted for publication in Bioinformatics following peer review. The version of record [insert complete citation information here] is available online at: https://doi.org/10.1093/bioinformatics/btw038 [Abstract] Summary: Current next generation sequencing technologies often generate duplicated or near-duplicated reads that (depending on the application scenario) do not provide any interesting biological information but can increase memory requirements and computational time of downstream analysis. In this work we present ParDRe , a de novo parallel tool to remove duplicated and near-duplicated reads through the clustering of S…

0301 basic medicineStatistics and ProbabilityFASTQ formatDNA stringsSource codeDownstream (software development)Computer sciencemedia_common.quotation_subjectParallel computingcomputer.software_genreBiochemistryDNA sequencing03 medical and health scienceschemistry.chemical_compound0302 clinical medicineHybrid MPI/multithreadingCluster AnalysisParDReMolecular BiologyGenemedia_commonHigh-Throughput Nucleotide SequencingSequence Analysis DNAParallel toolComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicschemistryData miningcomputerAlgorithms030217 neurology & neurosurgeryDNABioinformatics
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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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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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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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Multicenter validation study for the certification of a CFTR gene scanning method using next generation sequencing technology.

2018

AbstractBackground:Many European laboratories offer molecular genetic analysis of theCFTRgene using a wide range of methods to identify mutations causative of cystic fibrosis (CF) and CFTR-related disorders (CFTR-RDs). Next-generation sequencing (NGS) strategies are widely used in diagnostic practice, and CE marking is now required for most in vitro diagnostic (IVD) tests in Europe. The aim of this multicenter study, which involved three European laboratories specialized in CF molecular analysis, was to evaluate the performance of Multiplicom’s CFTR MASTR Dx kit to obtain CE-IVD certification.Methods:A total of 164 samples, previously analyzed with well-established “reference” methods for t…

0301 basic medicineValidation studycongenital hereditary and neonatal diseases and abnormalitiesCertification[SDV]Life Sciences [q-bio]Clinical BiochemistrySequencing dataCFTR molecular diagnosiCystic Fibrosis Transmembrane Conductance RegulatorComputational biology030105 genetics & heredityBiologyCFTR molecular diagnosisDNA sequencingIn vitro diagnosticCftr genecystic fibrosis03 medical and health sciencesHumanscystic fibrosiCE-IVD certificationBiochemistry (medical)Reproducibility of ResultsIllumina miseqSequence Analysis DNAGeneral MedicineMolecular analysisEurope030104 developmental biologyMulticenter studycomparative sequencing analysicomparative sequencing analysisMutationnext-generation sequencingMultiplex Polymerase Chain Reaction
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Proposed minimal standards for the use of genome data for the taxonomy of prokaryotes

2018

Advancement of DNA sequencing technology allows the routine use of genome sequences in the various fields of microbiology. The information held in genome sequences proved to provide objective and reliable means in the taxonomy of prokaryotes. Here, we describe the minimal standards for the quality of genome sequences and how they can be applied for taxonomic purposes.

0301 basic medicineWhole genome sequencing030106 microbiologyPhylogenomicsGeneral MedicineComputational biologyGenomicsSequence Analysis DNAMinimal standardsAverage nucleotide identityBiologyMicrobiologyGenomeDNA sequencing03 medical and health sciencesProkaryotic CellsPhylogenomicsTerminology as TopicGenome sequenceTaxonomy (biology)Prokaryotic taxonomyEcology Evolution Behavior and SystematicsPhylogeny
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