Search results for "Biological Databases"

showing 10 items of 20 documents

Stimulated and unstimulated saliva samples have significantly different bacterial profiles

2018

Epidemiological studies use saliva on a regular basis as a non-invasive and easy-to-take sample, which is assumed to be a microbial representative of the oral cavity ecosystem. However, comparative studies between different kinds of saliva samples normally used in microbial studies are scarce. The aim of the current study was to compare oral microbiota composition between two different saliva samples collected simultaneously: non-stimulated saliva with paper points and stimulated saliva collected after chewing paraffin gum. DNA was extracted from saliva samples of ten individuals, then analyzed by 16S rRNA pyrosequencing to describe bacterial diversity. The results demonstrate significant d…

Bacterial DiseasesMale0301 basic medicineSalivaPhysiologylcsh:MedicineMicrobiologiaPathology and Laboratory MedicineOral cavityDatabase and Informatics Methodsfluids and secretions0302 clinical medicineOral DiseasesCariesMedicine and Health SciencesFood sciencelcsh:ScienceChildMultidisciplinaryGenomicsBody FluidsBacterial PathogensInfectious Diseasesmedicine.anatomical_structureMedical MicrobiologyParaffinFemaleAnatomyPathogensSequence AnalysisResearch ArticleAdolescentBioinformaticsOral MedicineSequence DatabasesMicrobial GenomicsBiologyResearch and Analysis MethodsDental plaqueMicrobiologyBuccal mucosa03 medical and health sciencesOral Microbiotastomatognathic systemTongueGeneticsmedicineHumansEpidemiologiaSalivaMicrobial PathogensBacteriaBocalcsh:ROrganismsBiology and Life SciencesStreptococcus030206 dentistrymedicine.disease16S ribosomal RNAstomatognathic diseasesBiological Databases030104 developmental biologyEstomatologiaPyrosequencinglcsh:QMicrobiomePLOS ONE
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Big Data in metagenomics: Apache Spark vs MPI.

2020

The progress of next-generation sequencing has lead to the availability of massive data sets used by a wide range of applications in biology and medicine. This has sparked significant interest in using modern Big Data technologies to process this large amount of information in distributed memory clusters of commodity hardware. Several approaches based on solutions such as Apache Hadoop or Apache Spark, have been proposed. These solutions allow developers to focus on the problem while the need to deal with low level details, such as data distribution schemes or communication patterns among processing nodes, can be ignored. However, performance and scalability are also of high importance when…

Big DataComputer and Information SciencesScienceBig dataMessage Passing InterfaceParallel computingResearch and Analysis MethodsComputing MethodologiesComputing MethodologiesComputer ArchitectureComputer SoftwareDatabase and Informatics MethodsSoftwareSpark (mathematics)GeneticsMammalian GenomicsMultidisciplinarybusiness.industryApplied MathematicsSimulation and ModelingQRBiology and Life SciencesComputational BiologySoftware EngineeringGenomicsDNAGenomic DatabasesGenome AnalysisComputer HardwareSupercomputerBiological DatabasesAnimal GenomicsPhysical SciencesScalabilityEngineering and TechnologyMetagenomeMedicineDistributed memoryMetagenomicsbusinessMathematicsAlgorithmsGenome BacterialSoftwareResearch ArticlePLoS ONE
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A summary of genomic databases: overview and discussion

2009

In the last few years both the amount of electronically stored biological data and the number of biological data repositories grew up significantly (today, more than eight hundred can be counted thereof). In spite of the enormous amount of available resources, a user may be disoriented when he/she searches for specific data. Thus, the accurate analysis of biological data and repositories turn out to be useful to obtain a systematic view of biological database structures, tools and contents and, eventually, to facilitate the access and recovery of such data. In this chapter, we propose an analysis of genomic databases, which are databases of fundamental importance for the research in bioinfo…

Biological dataInformation retrievalComputer scienceBioinformatics Biological Databases AnalysisDatabase schemaBiological databaseGenomic databases
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Human exome and mouse embryonic expression data implicate ZFHX3, TRPS1, and CHD7 in human esophageal atresia

2020

Introduction Esophageal atresia with or without tracheoesophageal fistula (EA/TEF) occurs approximately 1 in 3.500 live births representing the most common malformation of the upper digestive tract. Only half a century ago, EA/TEF was fatal among affected newborns suggesting that the steady birth prevalence might in parts be due to mutational de novo events in genes involved in foregut development. Methods To identify mutational de novo events in EA/TEF patients, we surveyed the exome of 30 case-parent trios. Identified and confirmed de novo variants were prioritized using in silico prediction tools. To investigate the embryonic role of genes harboring prioritized de novo variants we perfor…

EmbryologyCandidate geneGene ExpressionTranscriptomeMiceDatabase and Informatics MethodsMedicine and Health SciencesExomeExomeExome sequencingGenetics0303 health sciencesMultidisciplinaryComputer-Aided Drug DesignQ030305 genetics & hereditySequence analysisRGenomicsCongenital AnomaliesDNA-Binding Proteinsembryonic structuresAmino Acid AnalysisMedicineTranscriptome AnalysisTracheoesophageal FistulaResearch ArticleDrug Research and DevelopmentBioinformaticsSequence analysisScienceIn silicoBiologyResearch and Analysis Methods03 medical and health sciencesExome SequencingGeneticsCongenital DisordersAnimalsHumansddc:610Molecular Biology TechniquesEsophageal AtresiaMolecular BiologyDNA sequence analysis030304 developmental biologyHomeodomain ProteinsPharmacologyMolecular Biology Assays and Analysis TechniquesGene Expression ProfilingEmbryosDNA HelicasesBiology and Life SciencesComputational BiologyEmbryo MammalianGenome AnalysisFANCBRepressor ProteinsGene expression profilingBiological DatabasesDrug DesignMutation DatabasesMutationDevelopmental Biology
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Spatial Distribution of Fungal Communities in an Arable Soil.

2015

Fungi are prominent drivers of ecological processes in soils, so that fungal communities across different soil ecosystems have been well investigated. However, for arable soils taxonomically resolved fine-scale studies including vertical itemization of fungal communities are still missing. Here, we combined a cloning/Sanger sequencing approach of the ITS/LSU region as marker for general fungi and of the partial SSU region for arbuscular mycorrhizal fungi (AMF) to characterize the microbiome in different maize soil habitats. Four compartments were analyzed over two annual cycles 2009 and 2010: a) ploughed soil in 0-10 cm, b) rooted soil in 40-50 cm, c) root-free soil in 60-70 cm soil depth a…

Fungal StructureSoil ScienceSequence Databaseslcsh:MedicineCropsMycologyResearch and Analysis MethodsSoilDatabase and Informatics MethodsModel OrganismsPlant and Algal ModelsGrassesMolecular Biology TechniquesSequencing Techniqueslcsh:ScienceMolecular BiologySoil MicrobiologyEcologyMicrobiotaEcology and Environmental Scienceslcsh:ROrganismsFungiCorrectionBiology and Life SciencesAgricultureSoil EcologyPlantsYeastMaizeBiological DatabasesCommunity Ecologylcsh:QSequence AnalysisResearch ArticleCloningCrop ScienceCereal CropsPLoS ONE
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In silico identification and experimental validation of hits active against KPC-2 β-lactamase

2018

Bacterial resistance has become a worldwide concern, particularly after the emergence of resistant strains overproducing carbapenemases. Among these, the KPC-2 carbapenemase represents a significant clinical challenge, being characterized by a broad substrate spectrum that includes aminothiazoleoxime and cephalosporins such as cefotaxime. Moreover, strains harboring KPC-type β-lactamases are often reported as resistant to available β-lactamase inhibitors (clavulanic acid, tazobactam and sulbactam). Therefore, the identification of novel non β-lactam KPC-2 inhibitors is strongly necessary to maintain treatment options. This study explored novel, non-covalent inhibitors active against KPC-2, …

Genetics and Molecular Biology (all)Proteomics0301 basic medicineCefotaximeKlebsiella pneumoniaePathology and Laboratory MedicinePhysical ChemistryBiochemistryKlebsiella PneumoniaeDatabase and Informatics MethodsBiochemistry Genetics and Molecular Biology (all); Agricultural and Biological Sciences (all)AntibioticsKlebsiellaCatalytic DomainMedicine and Health Sciencespolycyclic compoundsDrug InteractionsCrystallographyMultidisciplinarybiologyAntimicrobialsOrganic CompoundsProteomic DatabasesChemistryPhysicsQRDrugsSulbactamCondensed Matter PhysicsBacterial PathogensChemistryBiochemistryMedical MicrobiologyPhysical SciencesCrystal StructureMedicinePathogensbeta-Lactamase InhibitorsResearch Articlemedicine.drugScienceIn silico030106 microbiologySulfonamideResearch and Analysis MethodsMicrobiologyMeropenemTazobactambeta-Lactamases03 medical and health sciencesBacterial ProteinsMicrobial ControlClavulanic acidmedicineSolid State PhysicsMicrobial PathogensPharmacologyLigand efficiencyChemical BondingBacteriaOrganic ChemistryChemical CompoundsOrganismsBiology and Life SciencesHydrogen Bondingbiochemical phenomena metabolism and nutritionbiology.organism_classificationbacterial infections and mycosesAmidesBiological Databases030104 developmental biologyAgricultural and Biological Sciences (all)
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New insights into the gut microbiome in loggerhead sea turtles Caretta caretta stranded on the Mediterranean coast

2019

Caretta caretta is the most common sea turtle species in the Mediterranean Sea. The species is threatened by anthropomorphic activity that causes thousands of deaths and hundreds of strandings along the Mediterranean coast. Stranded turtles are often cared for in rehabilitation centres until they recover or die. The objective of this study was to characterize the gut microbiome of nine sea turtles stranded along the Sicilian coast of the Mediterranean Sea using high-throughput sequencing analysis targeting V3–V4 regions of the bacterial 16S rRNA gene. Stool samples were collected from eight specimens hosted in the recovery centre after a few days of hospitalization (under 7) and from one ho…

Mediterranean climateDIVERSITYSettore BIO/05 - ZoologiamicrobiomePathology and Laboratory MedicineSettore BIO/19 - Microbiologia GeneraleDatabase and Informatics MethodsMediterranean seacaretta carettaRNA Ribosomal 16SOceansMedicine and Health Sciencesbacteria0303 health sciencesMultidisciplinarybiologyDEBRIS INGESTIONQREukaryotaGenomicsTurtlesBacterial PathogensSea turtleMedical MicrobiologyVertebratesMedicinegutBACTERIAL COMMUNITIESPathogensProteobacteriaSequence AnalysisResearch ArticleBioinformaticsFirmicutesScienceSequence DatabasesFirmicutesmediterraneanZoologyMicrobial GenomicsResearch and Analysis MethodsMicrobiologyFusobacteriaDIET03 medical and health sciencesBodies of waterProteobacterialoggerheadGeneticsMediterranean SeaAnimalsMicrobiomeMicrobial Pathogens030304 developmental biologyBacteroidetes030306 microbiologyGut BacteriaOrganismsBiology and Life SciencesReptilesBacteroidetesbiology.organism_classificationEVOLUTIONMarine and aquatic sciencesGastrointestinal MicrobiomeEarth sciencesBiological DatabasesTestudinesAmniotesThreatened speciesCaretta caretta gut microbiome sea turtles Mediterranean Sea
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The Protein Structure Context of PolyQ Regions.

2016

Proteins containing glutamine repeats (polyQ) are known to be structurally unstable. Abnormal expansion of polyQ in some proteins exceeding a certain threshold leads to neurodegenerative disease, a symptom of which are protein aggregates. This has led to extensive research of the structure of polyQ stretches. However, the accumulation of contradictory results suggests that protein context might be of importance. Here we aimed to evaluate the structural context of polyQ regions in proteins by analysing the secondary structure of polyQ proteins and their homologs. The results revealed that the secondary structure in polyQ vicinity is predominantly random coil or helix. Importantly, the region…

Models MolecularProtein Conformation alpha-HelicalProtein Structure ComparisonProtein StructureSaccharomyces cerevisiae ProteinsGlutaminelcsh:MedicineNerve Tissue ProteinsSaccharomyces cerevisiaePlant ScienceResearch and Analysis MethodsBiochemistryPlant Roots570 Life sciencesDatabase and Informatics MethodsProtein Structure DatabasesMacromolecular Structure AnalysisHumansProtein Interaction Domains and MotifsAmino AcidsDatabases ProteinProtein Interactionslcsh:ScienceMolecular BiologyMediator ComplexOrganic CompoundsPlant AnatomyAcidic Amino AcidsOrganic Chemistrylcsh:RChemical CompoundsBiology and Life SciencesProteinsRoot StructureChemistryBiological DatabasesProtein-Protein InteractionsPhysical Scienceslcsh:QStructural ProteinsProtein Structure DeterminationPeptidesResearch Article570 BiowissenschaftenPLoS ONE
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Missing value imputation in proximity extension assay-based targeted proteomics data

2020

Targeted proteomics utilizing antibody-based proximity extension assays provides sensitive and highly specific quantifications of plasma protein levels. Multivariate analysis of this data is hampered by frequent missing values (random or left censored), calling for imputation approaches. While appropriate missing-value imputation methods exist, benchmarks of their performance in targeted proteomics data are lacking. Here, we assessed the performance of two methods for imputation of values missing completely at random, the previously top-benchmarked ‘missForest’ and the recently published ‘GSimp’ method. Evaluation was accomplished by comparing imputed with remeasured relative concentrations…

ProteomicsMaleMultivariate analysisProtein ExpressionBiochemistryProtein expressionDatabase and Informatics MethodsLimit of DetectionStatisticsMedicine and Health SciencesBiochemical SimulationsImputation (statistics)Immune ResponseMathematicsMultidisciplinaryProteomic DatabasesQREukaryotaBlood ProteinsVenous ThromboembolismPlantsMiddle AgedLegumesTargeted proteomicssymbolsEngineering and TechnologyMedicineFemaleAlgorithmsResearch ArticleQuality ControlAdultScienceImmunologyResearch and Analysis Methodssymbols.namesakeSigns and SymptomsBiasIndustrial EngineeringProtein Concentration AssaysGene Expression and Vector TechniquesMissing value imputationHumansMolecular Biology TechniquesMolecular BiologyAgedInflammationMolecular Biology Assays and Analysis TechniquesInterleukin-6OrganismsPeasBiology and Life SciencesComputational BiologyMissing dataPearson product-moment correlation coefficientBiological DatabasesMultivariate AnalysisClinical MedicineVenous thromboembolismPLOS ONE
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CiliaCarta: An integrated and validated compendium of ciliary genes

2019

The cilium is an essential organelle at the surface of mammalian cells whose dysfunction causes a wide range of genetic diseases collectively called ciliopathies. The current rate at which new ciliopathy genes are identified suggests that many ciliary components remain undiscovered. We generated and rigorously analyzed genomic, proteomic, transcriptomic and evolutionary data and systematically integrated these using Bayesian statistics into a predictive score for ciliary function. This resulted in 285 candidate ciliary genes. We generated independent experimental evidence of ciliary associations for 24 out of 36 analyzed candidate proteins using multiple cell and animal model systems (mouse…

ProteomicsSensory ReceptorsNematodaSocial SciencesCiliopathiesBiochemistrySensory disorders Donders Center for Medical Neuroscience [Radboudumc 12]Transcriptome0302 clinical medicineAnimal CellsPsychologyRETINAL PHOTORECEPTOR CELLSExomeNeurons0303 health sciences030302 biochemistry & molecular biologyEukaryotaGenomicsPRIMARY CILIUMthecilium3. Good healthNucleic acidsGenetic interferenceOsteichthyesMedicineEpigeneticsCellular Structures and OrganellesCellular Typesproteomic databasesSensory Receptor CellsScienceeducationCiliary genesLEBER CONGENITAL AMAUROSISGenomics03 medical and health sciencesGeneticsCiliaCaenorhabditis elegansIDENTIFICATIONMUTATIONSEmbryosciliaOrganismsBiology and Life SciencesBayes TheoremMolecular Sequence Annotationmedicine.diseaseInvertebratesFishciliary proteomeAnimal StudiesCaenorhabditisGene expressionembryos030217 neurology & neurosurgeryDevelopmental BiologyNeurosciencePhotoreceptorsCandidate geneEmbryologyOligonucleotidesMorpholinoDatabase and Informatics MethodsRNA interferenceBayesian classifierTRANSITION ZONEZebrafishAntisense OligonucleotidesZebrafishGeneticsMultidisciplinarySpectrometric Identification of ProteinsProteomic DatabasesNucleotidesCiliumQStable Isotope Labeling by Amino Acids in Cell CultureRphotoreceptorsMetabolic Disorders Radboud Institute for Molecular Life Sciences [Radboudumc 6]Animal ModelsPhenotypeINTRAFLAGELLAR TRANSPORTDIFFERENTIATIONPhenotypeExperimental Organism SystemsCaenorhabditis ElegansVertebratesSensory PerceptionResearch ArticleSignal TransductionEXPRESSIONStable isotope labeling by amino acids in cell cultureComputational biologyBiologyResearch and Analysis MethodsSOLUTE-CARRIER-PROTEINModel OrganismsmedicineAnimalsdata integration030304 developmental biologyAfferent NeuronsReproducibility of ResultsCell Biologyzebrafishbiology.organism_classificationCiliopathyRenal disorders Radboud Institute for Molecular Life Sciences [Radboudumc 11]Biological DatabasesCellular NeuroscienceRNAOSCP1CiliaCartaPLoS ONE
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