Search results for "Biological data"

showing 10 items of 53 documents

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
researchProduct

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
researchProduct

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
researchProduct

PVAmpliconFinder: a workflow for the identification of human papillomaviruses from high-throughput amplicon sequencing

2019

Abstract Background The detection of known human papillomaviruses (PVs) from targeted wet-lab approaches has traditionally used PCR-based methods coupled with Sanger sequencing. With the introduction of next-generation sequencing (NGS), these approaches can be revisited to integrate the sequencing power of NGS. Although computational tools have been developed for metagenomic approaches to search for known or novel viruses in NGS data, no appropriate tool is available for the classification and identification of novel viral sequences from data produced by amplicon-based methods. Results We have developed PVAmpliconFinder, a data analysis workflow designed to rapidly identify and classify kno…

Computer scienceComputational biologylcsh:Computer applications to medicine. Medical informaticsBiochemistryWorkflowUser-Computer Interface03 medical and health sciencessymbols.namesakeStructural BiologyHumansVirus discoverylcsh:QH301-705.5PapillomaviridaeMolecular BiologyThroughput (business)PhylogenyAmplicon sequencing030304 developmental biologySanger sequencing0303 health sciencesBiological data030306 microbiologyMethodology ArticleApplied MathematicsHigh-Throughput Nucleotide SequencingPapillomavirusAmpliconComputer Science ApplicationsIdentification (information)Workflowlcsh:Biology (General)MetagenomicsDNA ViralAmplicon sequencingsymbolslcsh:R858-859.7Primer (molecular biology)DNA microarrayBMC Bioinformatics
researchProduct

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
researchProduct

Microbial Diversity in the Midguts of Field and Lab-Reared Populations of the European Corn Borer Ostrinia nubilalis

2011

Background: Insects are associated with microorganisms that contribute to the digestion and processing of nutrients. The European Corn Borer (ECB) is a moth present world-wide, causing severe economical damage as a pest on corn and other crops. In the present work, we give a detailed view of the complexity of the microorganisms forming the ECB midgut microbiota with the objective of comparing the biodiversity of the midgut-associated microbiota and explore their potential as a source of genes and enzymes with biotechnological applications. Methodological/Principal Findings: A high-throughput sequencing approach has been used to identify bacterial species, genes and metabolic pathways, parti…

Bacterium identificationEuropean corn borerMicrobial diversityEuropean corn borerStaphylococcusBiodiversityOstrinia nubilalisNegibacteriaMothsAnimal tissueOstriniaMidgutMicrobial population dynamicsBacteria (microorganisms)PhylogenyMultidisciplinaryIntestine floraEcologybiologyBacterial geneSystems BiologyQRHexapodafood and beveragesAgricultureGenomicsLepidopteraPosibacteriaMAQUINAS Y MOTORES TERMICOSMedicineSynthetic BiologySequence AnalysisResearch ArticleBiotechnologyScienceBiological Data ManagementBacterial genomeMicrobiologydigestive systemZea maysArticleLepidoptera genitaliaMetabolic NetworksGeneticsAnimalsMicrobiomeBiologyWeissella paramesenteroidesBacteriabusiness.industryfungiStaphylococcus warneriComputational BiologyMidgutPopulation abundancebiology.organism_classificationNonhumanBiotechnologyAgronomyMetagenomicsWeissellaFISICA APLICADAMetagenomePEST analysisbusinessControlled studyAgroecology
researchProduct

Importance of relating chemical to biological data in microcosms studies to asses s impact of copper on soil bacteria

2007

International audience

[SDV] Life Sciences [q-bio][SDE] Environmental Scienceschemicalsoil bacteria[SDV]Life Sciences [q-bio]copper[SDE]Environmental Sciencesbiological dataComputingMilieux_MISCELLANEOUSmicrocosm
researchProduct

Functional comparison of bacteria from the human gut and closely related non-gut bacteria reveals the importance of conjugation and a paucity of moti…

2016

International audience; The human GI tract is a complex and still poorly understood environment, inhabited by one of the densest microbial communities on earth. The gut microbiota is shaped by millennia of evolution to co-exist with the host in commensal or symbiotic relationships. Members of the gut microbiota perform specific molecular functions important in the human gut environment. This can be illustrated by the presence of a highly expanded repertoire of proteins involved in carbohydrate metabolism, in phase with the large diversity of polysaccharides originating from the diet or from the host itself that can be encountered in this environment. In order to identify other bacterial fun…

0301 basic medicine[SDV]Life Sciences [q-bio]lcsh:MedicineGut floraPathology and Laboratory Medicinemedicine.disease_causeBiochemistryDatabase and Informatics MethodsRNA Ribosomal 16SMedicine and Health SciencesDNA metabolismlcsh:SciencePhylogenyProtein MetabolismClostridium BotulinumMultidisciplinarybiologyChemotaxisGastrointestinal Microbiomedigestive oral and skin physiologyHuman microbiomeGenomicsBacterial Physiological PhenomenaGenomic DatabasesAdaptation PhysiologicalBacterial PathogensNucleic acidsMedical MicrobiologyConjugation GeneticPathogensBacteroides thetaiotaomicronResearch ArticleCell PhysiologyBacterial Physiological PhenomenaResearch and Analysis MethodsBiosynthesisMicrobiologydigestive systemMicrobiology03 medical and health sciencesBacterial ProteinsGeneticsmedicineHumansMicrobial PathogensEscherichia coliClostridiumBacteria030102 biochemistry & molecular biologyGut Bacterialcsh:ROrganismsBiology and Life SciencesComputational BiologyChemotaxisCell BiologyDNAGenome Analysisbiology.organism_classificationGastrointestinal MicrobiomeCell MetabolismBiological DatabasesMetabolism030104 developmental biologyEvolutionary biologylcsh:QGenome BacterialBacteria
researchProduct

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
researchProduct

iSEE: Interactive SummarizedExperiment Explorer

2018

Data exploration is critical to the comprehension of large biological data sets generated by high-throughput assays such as sequencing. However, most existing tools for interactive visualisation are limited to specific assays or analyses. Here, we present the iSEE (Interactive SummarizedExperiment Explorer) software package, which provides a general visual interface for exploring data in a SummarizedExperiment object. iSEE is directly compatible with many existing R/Bioconductor packages for analysing high-throughput biological data, and provides useful features such as simultaneous examination of (meta)data and analysis results, dynamic linking between plots and code tracking for reproduci…

0301 basic medicineBioconductorcomputer.software_genreGeneral Biochemistry Genetics and Molecular BiologyBioconductor03 medical and health sciencestranscriptomicsproteomicsCode trackinggenomicsinteractiveGeneral Pharmacology Toxicology and PharmaceuticsInteractive visualizationvisualizationBiological dataGeneral Immunology and MicrobiologySoftware Tool ArticleshinyRGeneral MedicineArticlesSoftware packageObject (computer science)Visualization030104 developmental biologyData miningVisual interfacecomputerF1000Research
researchProduct