Search results for "biological database"

showing 10 items of 24 documents

Unexpected associated microalgal diversity in the lichen Ramalina farinacea is uncovered by pyrosequencing analyses

2017

The current literature reveals that the intrathalline coexistence of multiple microalgal taxa in lichens is more common than previously thought, and additional complexity is supported by the coexistence of bacteria and basidiomycete yeasts in lichen thalli. This replaces the old paradigm that lichen symbiosis occurs between a fungus and a single photobiont. The lichen Ramalina farinacea has proven to be a suitable model to study the multiplicity of microalgae in lichen thalli due to the constant coexistence of Trebouxia sp. TR9 and T. jamesii in long-distance populations. To date, studies involving phycobiont diversity within entire thalli are based on Sanger sequencing, but this method see…

0301 basic medicinelcsh:MedicineLichenologyArtificial Gene Amplification and ExtensionPlant SciencePolymerase Chain ReactionDatabase and Informatics MethodsDiversity indexMicroalgaeCluster AnalysisDNA Fungallcsh:ScienceLichenPhylogenyData ManagementMultidisciplinaryEcologybiologyEcologyPhylogenetic AnalysisBiodiversitysymbiosisThallusPhylogeneticspyrosequencingLichenologyTrebouxiaSequence AnalysisResearch ArticleTrebouxiaComputer and Information SciencesBioinformaticsSequence DatabasesReal-Time Polymerase Chain ReactionResearch and Analysis MethodslichenRamalina farinacea03 medical and health sciencesAscomycotaAlgaelichen photobionts pyrosequencing symbiosis TrebouxiaBotanyEvolutionary SystematicsMolecular Biology TechniquesMolecular BiologyDNA sequence analysisTaxonomyEvolutionary BiologyEcology and Environmental Scienceslcsh:RGenetic VariationBiology and Life SciencesSequence Analysis DNAReverse Transcriptase-Polymerase Chain Reactionbiology.organism_classificationBiological Databases030104 developmental biologyphotobiontsPyrosequencinglcsh:QSequence AlignmentPLOS ONE
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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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Network reconstruction for trans acting genetic loci using multi-omics data and prior information.

2022

Background: Molecular measurements of the genome, the transcriptome, and the epigenome, often termed multi-omics data, provide an in-depth view on biological systems and their integration is crucial for gaining insights in complex regulatory processes. These data can be used to explain disease related genetic variants by linking them to intermediate molecular traits (quantitative trait loci, QTL). Molecular networks regulating cellular processes leave footprints in QTL results as so-called trans-QTL hotspots. Reconstructing these networks is a complex endeavor and use of biological prior information can improve network inference. However, previous efforts were limited in the types of priors…

Data Integrationeducation.field_of_studyComputer scienceScale (chemistry)Bayesian probabilityPopulationQuantitative Trait LociBiological databaseInferenceData Integration ; Machine Learning ; Multi-omics ; Network Inference ; Personalized Medicine ; Prior Information ; Simulation ; Systems BiologyComputational biologyQuantitative trait locusReplication (computing)Machine LearningPrior probabilityCohortGeneticsMolecular MedicineHumans:Medicine [Science]Gene Regulatory NetworkseducationTranscriptomeMolecular BiologyGenetics (clinical)Genome medicine
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PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources.

2019

Background Biological databases and repositories are incrementing in diversity and complexity over the years. This rapid expansion of current and new sources of biological knowledge raises serious problems of data accessibility and integration. To handle the growing necessity of unification, CellBase was created as an integrative solution. CellBase provides a centralized NoSQL database containing biological information from different and heterogeneous sources. Access to this information is done through a RESTful web service API, which provides an efficient interface to the data. Results In this work we present PyCellBase, a Python package that provides programmatic access to the rich RESTfu…

Databases FactualComputer scienceAnnotationBiological databaseRESTfulcomputer.software_genreNoSQLlcsh:Computer applications to medicine. Medical informaticsBiochemistryDatabase03 medical and health sciencesAnnotationUser-Computer Interface0302 clinical medicineInstallationStructural BiologyVariantMolecular Biologylcsh:QH301-705.5030304 developmental biologycomputer.programming_language0303 health sciencesBiological dataDatabaseApplied MathematicsRepositoryComputational BiologyPython (programming language)CellBaseComputer Science Applicationslcsh:Biology (General)Scripting language030220 oncology & carcinogenesislcsh:R858-859.7Web servicecomputerSoftwarePython
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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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