Search results for "informatics"

showing 10 items of 2542 documents

1-Benzyl-1H-benzotriazole 3-oxide-1-hy-droxy-1H-benzotriazole (1/1).

2012

In the title compound, C6H5N3O·C13H11N3O, the benzotriazole ring system in the 1-benzyl-1H-benzotriazole 3-oxide (A) molecule is close to being planar (r.m.s. deviation = 0.011 Å); its mean plane forms a dihedral angle of 67.56 (7)° with that of the attached phenyl ring. The benzotriazole ring system in the 1-hydroxybenzotriazole (B) molecule is also close to being planar (r.m.s. deviation = 0.010 Å). In the crystal, weak C—H...O and C—H...π interactions are present. TheAandBmolecules are linked by an O—H...N hydrogen bond.

BenzotriazoleHydrogen bondOxide1h benzotriazoleGeneral ChemistryDihedral angleCondensed Matter PhysicsRing (chemistry)BioinformaticsOrganic PapersCrystalchemistry.chemical_compoundCrystallographychemistryMoleculeGeneral Materials ScienceActa crystallographica. Section E, Structure reports online
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Evidence for transforming growth factor-beta 3 gene polymorphism in non-syndromic cleft lip and palate patients from indian sub-continent

2011

Objectives: Orofacial clefts are major human birth defects with complex etiology. Previous studies have proposed Transforming growth factor - beta 3 (TGF-β3) gene as a key player in contributing to non-syndromic cleft lip and palate, however none of the studies have yet included Indian population. Hence this study was designed to detect TGF-β3 gene polymorphism in nonsyndromic cleft lip and palate patients from Indian population which is genetically distinct from previously studied populations. Study Design: Peripheral blood samples of forty non-syndromic cleft lip and palate patients and forty unaffected individuals were collected for a case – control study design. Ethical clearance from t…

Beta-3 adrenergic receptorCleft LipDentistryIndiaBioinformaticslaw.inventionTransforming Growth Factor beta3lawMedicineHumansGeneral DentistryGenePolymerase chain reactionOral Medicine and PathologyPolymorphism Geneticbusiness.industryInstitutional review board:CIENCIAS MÉDICAS [UNESCO]Cleft PalateOtorhinolaryngologyTransforming growth factor beta 3UNESCO::CIENCIAS MÉDICASEtiologySurgeryResearch-ArticleGene polymorphismbusinessNon syndromic
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PINCoC: a Co-Clustering based Method to Analyze Protein-Protein Interaction Networks

2007

Anovel technique to search for functionalmodules in a protein-protein interaction network is presented. The network is represented by the adjacency matrix associated with the undirected graph modelling it. The algorithm introduces the concept of quality of a sub-matrix of the adjacency matrix, and applies a greedy search technique for finding local optimal solutions made of dense submatrices containing the maximum number of ones. An initial random solution, constituted by a single protein, is evolved to search for a locally optimal solution by adding/removing connected proteins that best contribute to improve the quality function. Experimental evaluations carried out on Saccaromyces Cerevis…

BiclusteringMathematical optimizationBioinformatics network analysisCompact spaceInteraction networkBlock matrixFunction (mathematics)Adjacency matrixGreedy algorithmAlgorithmProtein protein interaction networkMathematics
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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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FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy

2021

Abstract Background Storage of genomic data is a major cost for the Life Sciences, effectively addressed via specialized data compression methods. For the same reasons of abundance in data production, the use of Big Data technologies is seen as the future for genomic data storage and processing, with MapReduce-Hadoop as leaders. Somewhat surprisingly, none of the specialized FASTA/Q compressors is available within Hadoop. Indeed, their deployment there is not exactly immediate. Such a State of the Art is problematic. Results We provide major advances in two different directions. Methodologically, we propose two general methods, with the corresponding software, that make very easy to deploy …

Big DataFASTQ formatComputer scienceBig data02 engineering and technologycomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsBiochemistry03 medical and health sciencesSoftwareStructural BiologySpark (mathematics)0202 electrical engineering electronic engineering information engineeringData_FILESMapReduceMapReduce; hadoop; sequence analysis; data compressionMolecular Biologylcsh:QH301-705.5030304 developmental biologyFile system0303 health sciencesSettore INF/01 - InformaticaDatabasebusiness.industryMethodology ArticleApplied MathematicsSequence analysisGenomicsData compression; Hadoop; MapReduce; Sequence analysis; Algorithms; Big Data; Data Compression; Genomics; SoftwareComputer Science Applicationslcsh:Biology (General)Software deploymentHadoopData compressionlcsh:R858-859.7020201 artificial intelligence & image processingState (computer science)businesscomputerAlgorithmsSoftwareData compressionBMC Bioinformatics
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Can google trends and wikipedia help traditional surveillance? A pilot study on measles

2019

Introduction: Cases of measles in some European countries are increasing. The aim of this study is to find the correlation between Google Trends and Wikipedia searches and the real number of cases notified. Materials and Methods: The data on Internet searches have been obtained from Google Trends and Wikipedia. The reported cases of measles were selected from January 2013 until December 2018 for Google Trends and July 2015 until December 2018 from for Wikipedia. We have selected data from four European Countries: Italy, France, Germany and Romania. The data extracted from Wikipedia and Google Trends have been moved over time (Lag), one month in the future and one month in the past. Cross-co…

Big DataInternetRomaniaMedical Informatics ComputingVaccine-preventable diseases Italy Germany France Romania Measles vaccine Big Data Internet Measles Medical Informatics Computing Medical InformaticsPilot ProjectsEuropevaccine-preventable diseasesItalyGermanyHumansOriginal ArticleFranceMeasles vaccineMedical InformaticsMeasles
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Digital epidemiology: assessment of measles infection through Google Trends mechanism in Italy.

2019

Introduction. The primary aim of this study is to evaluate the temporal correlation between Google Trends and the data on measles infection arising from the conventional surveillance system, reported by the Istituto Superiore di Sanità's (ISS) bulletin. Moreover, this study is also aimed at forecasting the trends of the reported infectious diseases cases over time. Materials and Methods. The reported cases of measles were selected from January 2013 until October 2018. The data on Internet searches have been obtained from Google Trends; the research data referred to the first 48 weeks of year 2017 have been aggregated on a weekly basis. The search volume provided by Google Trends has a relat…

Big DataInternetTime FactorsDatabases FactualMedical Informatics ComputingMeasles VaccineMedical InformaticSearch EngineEpidemiologic StudiesItalyMeasleVaccine-preventable diseasesPopulation SurveillanceHumansPublic HealthEpidemiologic MethodsMeaslesAnnali di igiene : medicina preventiva e di comunita
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Tracking Changes in Protonation and Conformation during Photoactivation of a Phytochrome Protein

2016

Phytochromes are photosensor proteins in plants and bacteria. The biological response is mediated by structural changes that follow photon absorption in the protein complex. The initial step is the photoisomerization of the biliverdin chromophore. How this leads to large-scale structural changes of the whole complex is, however, poorly understood. In this work, we use molecular dynamics (MD) simulations to investigate the structural changes after isomerization. In particular, we perform MD simulations at constant pH, using a recently developed method, to explore the effect of chromophore isomerization on the protonation (pKa) of nearby residues. In addition, we use a hybrid quantum mechanic…

BiliverdinAbsorption spectroscopyPhotoisomerizationBiophysicsProtonationChromophoreBioinformaticsMolecular mechanicschemistry.chemical_compoundMolecular dynamicschemistryBiophysicssense organsIsomerizationBiophysical Journal
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Radiomics and Prostate MRI: Current Role and Future Applications

2021

Multiparametric prostate magnetic resonance imaging (mpMRI) is widely used as a triage test for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined to prostate cancer staging. Radiomics is the quantitative extraction and analysis of minable data from medical images; it is emerging as a promising tool to detect and categorize prostate lesions. In this paper we review the role of radiomics applied to prostate mpMRI in detection and localization of prostate cancer, prediction of Gleason score and PI-RADS classification, prediction of extracapsular extension and of biochemical recurrence. We also provide a future perspective of artificial intelligence (machine …

Biochemical recurrencemedicine.medical_specialtyReviewlcsh:Computer applications to medicine. Medical informaticslcsh:QA75.5-76.95030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineRadiomicsProstatelocalmedicineRadiology Nuclear Medicine and imaginglcsh:PhotographyGleason scoreElectrical and Electronic EngineeringMultiparametric Magnetic Resonance ImagingFuture perspectivemedicine.diagnostic_testbusiness.industryMagnetic resonance imaginglcsh:TR1-1050prostate cancerartificial intelligencemultiparametric magnetic resonance imagingneoplasm recurrencemedicine.diseaseComputer Graphics and Computer-Aided Designprostate cancer; artificial intelligence; multiparametric magnetic resonance imaging; Gleason score; neoplasm recurrence; localmedicine.anatomical_structure030220 oncology & carcinogenesislcsh:R858-859.7lcsh:Electronic computers. Computer scienceComputer Vision and Pattern RecognitionRadiologyProstate cancer stagingbusiness
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Charging a Capacitor from an External Fluctuating Potential using a Single Conical Nanopore

2015

We explore the electrical rectification of large amplitude fluctuating signals by an asymmetric nanostructure operating in aqueous solution. We show experimentally and theoretically that a load capacitor can be charged to voltages close to 1 V within a few minutes by converting zero time-average potentials of amplitudes in the range 0.5–3 V into average net currents using a single conical nanopore. This process suggests that significant energy conversion and storage from an electrically fluctuating environment is feasible with a nanoscale pore immersed in a liquid electrolyte solution, a system characteristic of bioelectronics interfaces, electrochemical cells, and nanoporous membranes.

BioelectronicsMultidisciplinaryMaterials scienceNanostructurebusiness.industryElectrolyteConical surfaceBioinformaticsArticleElectrochemical celllaw.inventionTransductionNanoporeCapacitorlawIon channelsFISICA APLICADADevicesOptoelectronicsEnergy transformationbusinessScientific Reports
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