Search results for " Databases"

showing 10 items of 140 documents

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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The rise of the middle author: Investigating collaboration and division of labor in biomedical research using partial alphabetical authorship

2017

Contemporary biomedical research is performed by increasingly large teams. Consequently, an increasingly large number of individuals are being listed as authors in the bylines, which complicates the proper attribution of credit and responsibility to individual authors. Typically, more importance is given to the first and last authors, while it is assumed that the others (the middle authors) have made smaller contributions. However, this may not properly reflect the actual division of labor because some authors other than the first and last may have made major contributions. In practice, research teams may differentiate the main contributors from the rest by using partial alphabetical author…

Biomedical ResearchEconomicslcsh:MedicineSocial SciencesDatabase and Informatics MethodsMathematical and Statistical TechniquesMedicine and Health SciencesMedicinePsychologyAlphabetical orderCooperative Behaviorlcsh:ScienceLanguageMultidisciplinaryCareers05 social sciencesResearch AssessmentPublic relationsResearch PersonnelResearch DesignPublishingPhysical SciencesListing (finance)Information Technology050904 information & library sciencesSequence AnalysisStatistics (Mathematics)Period (music)Division of labourResearch ArticleEmploymentComputer and Information SciencesBioinformaticsBibliometricsResearch and Analysis Methods050905 science studiesDatabasesHumansStatistical MethodsPublishingOperationalizationbusiness.industryField (Bourdieu)lcsh:RCognitive PsychologyBiology and Life SciencesRelational DatabasesAuthorshipBibliometricsLabor EconomicsCognitive Sciencelcsh:QClinical Medicine0509 other social sciencesAttributionbusinessMathematicsForecastingNeurosciencePLOS ONE
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MEDLEM database, a data collection on large Elasmobranchs in the Mediterranean and Black seas

2020

The Mediterranean Large Elasmobranchs Monitoring (MEDLEM) database contains more than 3,000 records (with more than 4,000 individuals) of large elasmobranch species from 21 different countries around the Mediterranean and Black seas, observed from 1666 to 2017. The principal species included in the archive are the devil ray (1,868 individuals), the basking shark (935 individuals), the blue shark (622 individuals), and the great white shark (342 individuals). In the last decades, other species such as the thresher shark (187 individuals), the shortfin mako (180 individuals), and the spiny butterfly ray (138) were reported with increasing frequency. This was possibly due to increased public a…

Bycatch; databases; geographical distribution; large elasinobranchs; Mediterranean and Black seas; sharks0106 biological sciencesMediterranean climate2417.05 Biología Marina2510.01 Oceanografía Biológicalarge elasmobranchsMediterranean and Black seascetorhinus-maximus gunnerusOceanographycomputer.software_genre01 natural sciencesBasking sharkPesqueríasThresher shark1st recordsbiologyDatabaseconservationBycatch; databases; geographical distribution; large elasmobranchs; Mediterranean and Black seas; sharks04 agricultural and veterinary sciencescarcharhinidaeGeographyMediterranean and black seacoastbasking sharkLarge elasmobranchcarcharodon-carcharias linnaeusEnvironmental Engineeringdatabases[SDE.MCG]Environmental Sciences/Global ChangesFishingSede Central IEOAquatic Sciencesharksplumbeus chondrichthyesDatabasesharks.biology.animal[SDV.BA.ZV]Life Sciences [q-bio]/Animal biology/Vertebrate Zoologysharks; by-catch; databases; large elasmobranchs; geographical distribution; Mediterranean and Black seasgeographical distributionBycatch ; databases ; geographical distribution ; large elasinobranchs ; Mediterranean and Black seas ; sharks14. Life underwaterEcology Evolution Behavior and Systematicslarge elasinobranchs010604 marine biology & hydrobiologybiology.organism_classificationlamniformes cetorhinidaeby-catchBycatchGreat white sharkBycatchButterfly ray040102 fisheries0401 agriculture forestry and fisheriesConservation status[SDE.BE]Environmental Sciences/Biodiversity and Ecologycomputer
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Quality, comparability and methods of analysis of data on childhood cancer in Europe (1978-1997): report from the Automated Childhood Cancer Informat…

2006

International audience; In collaboration with 62 population-based cancer registries contributing to the Automated Childhood Cancer Information System (ACCIS), we built a database to study incidence and survival of children and adolescents with cancer in Europe. We describe the methods and evaluate the quality and internal comparability of the database, by geographical region, period of registration, type of registry and other characteristics. Data on 88,465 childhood and 15,369 adolescent tumours registered during 1978-1997 were available. Geographical differences in incidence are caused partly by differences in definition of eligible cases. The observed increase in incidence rates cannot b…

Cancer ResearchPediatricsDatabases FactualMESH: RegistriesMESH : Child Preschool[ SDV.CAN ] Life Sciences [q-bio]/Cancer0302 clinical medicineMESH : ChildNeoplasmsMESH: ChildEpidemiologyMedicineMESH: NeoplasmsRegistries030212 general & internal medicineMESH: IncidenceChildeducation.field_of_studyIncidenceIncidence (epidemiology)ComparabilityMESH: Infant NewbornQuality - methods - childhood cancer - EuropeMESH : InfantMESH : AdultMESH: InfantMESH : Incidence3. Good healthEuropeMESH: Reproducibility of ResultsOncologyChild Preschool030220 oncology & carcinogenesisMESH: Survival AnalysisAdultmedicine.medical_specialtyAdolescentPopulationMESH : EuropeMEDLINE[SDV.CAN]Life Sciences [q-bio]/CancerMESH : Databases FactualMESH : Infant Newborn03 medical and health sciencesEnvironmental healthMESH : AdolescentHumanseducationSurvival analysisMESH: AdolescentMESH: Humansbusiness.industryMESH : Reproducibility of ResultsMESH: Child PreschoolMESH : HumansInfant NewbornInfantReproducibility of ResultsCancerMESH: Adultmedicine.diseaseSurvival AnalysisMESH: Databases FactualMESH : NeoplasmsData qualityMESH: EuropeMESH : Survival AnalysisbusinessMESH : Registries
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The partition sum of methane at high temperature

2008

11 pages, 4 Tables, 3 Figures Computer code on line at http://icb.u-bourgogne.fr/JSP/TIPS.jsp; International audience; The total internal partition function of methane is revisited to provide reliable values at high temperature. A multi-resolution approach is used to perform a direct summation over all the rovibrational energy levels up to the dissociation limit. A computer code is executable on line at the URL : http://icb.u-bourgogne.fr/JSP/TIPS.jsp to allow the calculation of the partition sum of methane at temperatures up to 3000 K. It also provides detailed information on the density of states in the relevant spectral ranges. The recommended values include uncertainty estimates. It is …

Computational spectroscopyRovibrational spectroscopy33.20.Vq 33.70.Fd01 natural sciences[PHYS.PHYS.PHYS-AO-PH] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]MethaneDissociation (chemistry)chemistry.chemical_compound0103 physical sciencesSpectroscopy010303 astronomy & astrophysicsSpectroscopySpectroscopic databasesPhysics[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Radiation010304 chemical physicsPartition sumRotational–vibrational spectroscopyPartition function (mathematics)Atmospheric temperature rangeAtomic and Molecular Physics and OpticsComputational physicschemistry[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Density of statesHITRANAtomic physicsMethane
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The miniJPAS survey: a preview of the Universe in 56 colours

2021

Full list of authors: Bonoli, S.; Marín-Franch, A.; Varela, J.; Vázquez Ramió, H.; Abramo, L. R.; Cenarro, A. J.; Dupke, R. A.; Vílchez, J. M.; Cristóbal-Hornillos, D.; González Delgado, R. M.; Hernández-Monteagudo, C.; López-Sanjuan, C.; Muniesa, D. J.; Civera, T.; Ederoclite, A.; Hernán-Caballero, A.; Marra, V.; Baqui, P. O.; Cortesi, A.; Cypriano, E. S.; Daflon, S.; de Amorim, A. L.; Díaz-García, L. A.; Diego, J. M.; Martínez-Solaeche, G.; Pérez, E.; Placco, V. M.; Prada, F.; Queiroz, C.; Alcaniz, J.; Alvarez-Candal, A.; Cepa, J.; Maroto, A. L.; Roig, F.; Siffert, B. B.; Taylor, K.; Benitez, N.; Moles, M.; Sodré, L.; Carneiro, S.; Mendes de Oliveira, C.; Abdalla, E.; Angulo, R. E.; Apari…

Cosmology and Nongalactic Astrophysics (astro-ph.CO)media_common.quotation_subjectFOS: Physical sciencesAstrophysicsastronomical databases: miscellaneousSurveyslaw.inventionPhotometry (optics)Telescopetechniques: photometricExtended Groth StripsurveysObservatorylaw[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]observations [Cosmology]Instrumentation and Methods for Astrophysics (astro-ph.IM)stars: generalmedia_commonPhysicsgeneral [Stars]photometric [Techniques]Astronomy and AstrophysicsQuasargeneral [Galaxies]115 Astronomy Space sciencegalaxies: generalAstrophysics - Astrophysics of GalaxiesGalaxyRedshiftSpace and Planetary ScienceSkyAstrophysics of Galaxies (astro-ph.GA)cosmology: observationsmiscellaneous [Astronomical databases][PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Astrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - Cosmology and Nongalactic Astrophysics
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Analyzing big datasets of genomic sequences: fast and scalable collection of k-mer statistics

2019

Abstract Background Distributed approaches based on the MapReduce programming paradigm have started to be proposed in the Bioinformatics domain, due to the large amount of data produced by the next-generation sequencing techniques. However, the use of MapReduce and related Big Data technologies and frameworks (e.g., Apache Hadoop and Spark) does not necessarily produce satisfactory results, in terms of both efficiency and effectiveness. We discuss how the development of distributed and Big Data management technologies has affected the analysis of large datasets of biological sequences. Moreover, we show how the choice of different parameter configurations and the careful engineering of the …

Data AnalysisFOS: Computer and information sciencesTime FactorsTime FactorComputer scienceStatistics as TopicBig dataApache Spark; distributed computing; performance evaluation; k-mer countinglcsh:Computer applications to medicine. Medical informaticsBiochemistryDomain (software engineering)Databases03 medical and health sciences0302 clinical medicineStructural BiologyComputer clusterStatisticsSpark (mathematics)Molecular Biologylcsh:QH301-705.5030304 developmental biology0303 health sciencesGenomeSettore INF/01 - InformaticaBase SequenceNucleic AcidApache Sparkbusiness.industryResearchApache Spark; Distributed computing; k-mer counting; Performance evaluation; Algorithms; Base Sequence; Software; Time Factors; Data Analysis; Databases Nucleic Acid; Genome; Statistics as TopicApplied Mathematicsk-mer countingDistributed computingComputer Science ApplicationsAlgorithmData AnalysiComputer Science - Distributed Parallel and Cluster Computinglcsh:Biology (General)030220 oncology & carcinogenesisScalabilityPerformance evaluationlcsh:R858-859.7Algorithm designDistributed Parallel and Cluster Computing (cs.DC)Databases Nucleic AcidbusinessAlgorithmsSoftware
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BioTIME: A database of biodiversity time series for the Anthropocene

2018

Abstract Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, th…

Data Papers0106 biological sciencesRange (biology)QH301 BiologytemporalNERCBiodiversity:Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480 [VDP]BIALOWIEZA NATIONAL-PARKspecialcomputer.software_genre[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics Phylogenetics and taxonomy01 natural sciencesspecies richnessSDG 15 - Life on LandbiodiversityGlobal and Planetary ChangeB003-ecologyDatabaseEcologySampling (statistics)SIMULATED HERBIVORYsupporting technologiesLAND-BRIDGE ISLANDS[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/BotanicsPE&RCglobal/dk/atira/pure/thematic/inbo_th_00032PRIMEVAL TEMPERATE FORESTGeographyPOPULATION TRENDS/dk/atira/pure/discipline/B000/B003biodiversity; global; special; species richness; temporal; turnoverData PaperSECONDARY FORESTEvolutionESTUARINE COASTAL LAGOON010603 evolutionary biology/dk/atira/pure/sustainabledevelopmentgoals/life_below_waterQH301[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsBehavior and SystematicsAnthropocenebiodiversity; global; spatial; species richness; temporal; turnover; Global and Planetary Change; Ecology Evolution Behavior and Systematics; EcologyVDP::Mathematics and natural science: 400::Zoology and botany: 480species richne14. Life underwaterSDG 14 - Life Below WaterNE/L002531/1ZA4450Relative species abundanceEcology Evolution Behavior and SystematicsZA4450 Databases010604 marine biology & hydrobiologyturnoverRCUKBiology and Life SciencesDAS/dk/atira/pure/technological/ondersteunende_technieken15. Life on landDECIDUOUS FORESTspatialTaxonFish13. Climate actionMCPWildlife Ecology and ConservationLONG-TERM CHANGESpecies richness[SDE.BE]Environmental Sciences/Biodiversity and EcologycomputerGlobal and Planetary ChangeBIRD COMMUNITY DYNAMICSVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480
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Population geocoding for healthcare management. Technical challenges and quality issues

2015

The present work aims at describing the main issues related with population geocoding for healthcare management. Some of the available procedures for geocoding multiple addresses are described and an indicator of quality of the geocoded addresses is proposed. As a case study, the geocoding of population addresses of a set of 9 Sicilian Municipalities is described and results deriving from the use of two different methods are compared in terms of quality. Some potential applications of population geocoding in healthcare management are finally discussed.

Data quality Population health Address geocoding Spatial databasesSettore SECS-S/05 - Statistica Sociale
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Distributed Real-Time Sentiment Analysis for Big Data Social Streams

2014

Big data trend has enforced the data-centric systems to have continuous fast data streams. In recent years, real-time analytics on stream data has formed into a new research field, which aims to answer queries about "what-is-happening-now" with a negligible delay. The real challenge with real-time stream data processing is that it is impossible to store instances of data, and therefore online analytical algorithms are utilized. To perform real-time analytics, pre-processing of data should be performed in a way that only a short summary of stream is stored in main memory. In addition, due to high speed of arrival, average processing time for each instance of data should be in such a way that…

Data streamFOS: Computer and information sciencesComputer Science - Computation and LanguageComputer sciencebusiness.industryData stream miningSentiment analysisBig dataMachine Learning (stat.ML)Databases (cs.DB)Data structurecomputer.software_genreField (computer science)Computer Science - Information RetrievalTree (data structure)Computer Science - DatabasesComputer Science - Distributed Parallel and Cluster ComputingAnalyticsStatistics - Machine LearningData miningDistributed Parallel and Cluster Computing (cs.DC)businesscomputerComputation and Language (cs.CL)Information Retrieval (cs.IR)
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