Search results for "VISUALIZATION"

showing 10 items of 449 documents

Visualization of Simulated Arrhythmias due to Gap Junctions

2018

New computational models are able to simulate details of cardiac cell networks. Their results allow a better understanding of the functionality of the heart and suggest possible actions to reduce non-fatal premature beats that can give rise to serious diseases. We developed a user-friendly interface to organize Neuron simulations and to present in real-time a three-dimensional representation of the electrical activity due to the gap junctions which interconnect the cells inside cardiac tissues. All physiological parameters were set according to real experimental observations and compared against different types of arrhythmias, retrieved from the Physionet Data Base.

0301 basic medicine030103 biophysicsComputational modelSettore INF/01 - InformaticaComputer scienceInterface (computing)Gap junctionPremature BeatsCardiac cellVisualization03 medical and health sciencesRepresentation (mathematics)Gap junctions erratic arrhythmias Neuron simulation Blender renderingSimulationProceedings of the 19th International Conference on Computer Systems and Technologies
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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
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CellMap visualizes protein-protein interactions and subcellular localization

2018

Many tools visualize protein-protein interaction (PPI) networks. The tool introduced here, CellMap, adds one crucial novelty by visualizing PPI networks in the context of subcellular localization, i.e. the location in the cell or cellular component in which a PPI happens. Users can upload images of cells and define areas of interest against which PPIs for selected proteins are displayed (by default on a cartoon of a cell). Annotations of localization are provided by the user or through our in-house database. The visualizer and server are written in JavaScript, making CellMap easy to customize and to extend by researchers and developers.

0301 basic medicineBioinformaticssubcellular locationContext (language use)BiologyJavaScriptGeneral Biochemistry Genetics and Molecular BiologyChemical Biology of the CellProtein–protein interactionprotein-protein interaction03 medical and health sciencesUploadHuman–computer interactionGeneral Pharmacology Toxicology and Pharmaceuticscomputer.programming_languagebiological visualization030102 biochemistry & molecular biologyGeneral Immunology and MicrobiologySoftware Tool ArticleNoveltyArticlesGeneral MedicineSubcellular localizationddc:ComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyNeurosciencecomputerF1000Research
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DNA quadruplexes: structures, functions and detection

2017

International audience

0301 basic medicineChemistry[ SDV.BC ] Life Sciences [q-bio]/Cellular BiologyGeneral Medicine[CHIM.THER]Chemical Sciences/Medicinal Chemistry[SDV.BC]Life Sciences [q-bio]/Cellular BiologyGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences030104 developmental biology[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyhuman-cells[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyComputingMilieux_MISCELLANEOUSvisualization
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Application of Graph Clustering and Visualisation Methods to Analysis of Biomolecular Data

2018

In this paper we present an approach based on integrated use of graph clustering and visualisation methods for semi-supervised discovery of biologically significant features in biomolecular data sets. We describe several clustering algorithms that have been custom designed for analysis of biomolecular data and feature an iterated two step approach involving initial computation of thresholds and other parameters used in clustering algorithms, which is followed by identification of connected graph components, and, if needed, by adjustment of clustering parameters for processing of individual subgraphs.

0301 basic medicineComputer scienceComputationcomputer.software_genreVisualization03 medical and health sciencesIdentification (information)ComputingMethodologies_PATTERNRECOGNITION030104 developmental biology0302 clinical medicineGraph drawingFeature (machine learning)Data miningCluster analysiscomputer030217 neurology & neurosurgeryConnectivityClustering coefficient
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EFMviz

2020

Elementary Flux Modes (EFMs) are a tool for constraint-based modeling and metabolic network analysis. However, systematic and automated visualization of EFMs, capable of integrating various data types is still a challenge. In this study, we developed an extension for the widely adopted COBRA Toolbox, EFMviz, for analysis and graphical visualization of EFMs as networks of reactions, metabolites and genes. The analysis workflow offers a platform for EFM visualization to improve EFM interpretability by connecting COBRA toolbox with the network analysis and visualization software Cytoscape. The biological applicability of EFMviz is demonstrated in two use cases on medium (Escherichia coli, iAF1…

0301 basic medicineComputer scienceEndocrinology Diabetes and Metabolismgenome-scale metabolic modelslcsh:QR1-502computer.software_genreBiochemistryData typelcsh:MicrobiologySBML03 medical and health sciences0302 clinical medicineData visualizationGraph drawingProtocolACETATEdata visualizationCELLSBMLCYTOSCAPEMolecular BiologyGENE-EXPRESSIONSoftware visualizationbusiness.industryPATHWAY ANALYSISnetwork visualizationelementary flux modesToolboxVisualization030104 developmental biologyWorkflowDEFINITIONESCHERICHIA-COLIGROWTHData miningbusinesscomputerSET030217 neurology & neurosurgeryMetabolites
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Rocker: Open source, easy-to-use tool for AUC and enrichment calculations and ROC visualization

2016

Receiver operating characteristics (ROC) curve with the calculation of area under curve (AUC) is a useful tool to evaluate the performance of biomedical and chemoinformatics data. For example, in virtual drug screening ROC curves are very often used to visualize the efficiency of the used application to separate active ligands from inactive molecules. Unfortunately, most of the available tools for ROC analysis are implemented into commercially available software packages, or are plugins in statistical software, which are not always the easiest to use. Here, we present Rocker, a simple ROC curve visualization tool that can be used for the generation of publication quality images. Rocker also…

0301 basic medicineComputer scienceautomatic calculationLibrary and Information Sciencescomputer.software_genre01 natural sciences03 medical and health sciencesSoftwareArea under curvePlug-inPhysical and Theoretical ChemistryVirtual screeningReceiver operating characteristicbusiness.industryComputer Graphics and Computer-Aided Design0104 chemical sciencesComputer Science ApplicationsVisualizationreceiver operating characteristics010404 medicinal & biomolecular chemistryIdentification (information)ComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyarea under curvesRockerCheminformaticsData miningbusinesscomputerSoftwaresoftwaresJournal of Cheminformatics
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A framework for data-driven adaptive GUI generation based on DICOM

2018

Computer applications for diagnostic medical imaging provide generally a wide range of tools to support physicians in their daily diagnosis activities. Unfortunately, some functionalities are specialized for specific diseases or imaging modalities, while other ones are useless for the images under investigation. Nevertheless, the corresponding Graphical User Interface (GUI) widgets are still present on the screen reducing the image visualization area. As a consequence, the physician may be affected by cognitive overload and visual stress causing a degradation of performances, mainly due to unuseful widgets. In clinical environments, a GUI must represent a sequence of steps for image investi…

0301 basic medicineDiagnostic ImagingAutomatedComputer scienceData-driven GUI generation; DICOM; Faceted classification; Graphical user interfaces; Medical diagnostic software; Algorithms; Brain; Cognition; Computers; Decision Support Systems Clinical; Diagnostic Imaging; Feasibility Studies; Humans; Magnetic Resonance Imaging; Medical Informatics; Pattern Recognition Automated; Software; Computer Graphics; Radiology Information Systems; User-Computer InterfaceGraphical user interfacesDecision Support SystemsHealth InformaticsPattern Recognitioncomputer.software_genrePattern Recognition Automated030218 nuclear medicine & medical imaging03 medical and health sciencesDICOMClinicalUser-Computer Interface0302 clinical medicineSoftwareCognitionHuman–computer interactionComputer GraphicsHumansDICOMGraphical user interfaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFaceted classificationbusiness.industryComputersData-driven GUI generationBrainComputer Science Applications1707 Computer Vision and Pattern RecognitionMedical diagnostic softwareDecision Support Systems ClinicalMagnetic Resonance ImagingComputer Science ApplicationsVisualizationSoftware frameworkGraphical user interface030104 developmental biologyWorkflowRadiology Information SystemsInformation modelSoftware designFeasibility StudiesbusinesscomputerAlgorithmsMedical InformaticsSoftware
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Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM

2019

Single-cell transcriptomic assays have enabled the de novo reconstruction of lineage differentiation trajectories, along with the characterization of cellular heterogeneity and state transitions. Several methods have been developed for reconstructing developmental trajectories from single-cell transcriptomic data, but efforts on analyzing single-cell epigenomic data and on trajectory visualization remain limited. Here we present STREAM, an interactive pipeline capable of disentangling and visualizing complex branching trajectories from both single-cell transcriptomic and epigenomic data. We have tested STREAM on several synthetic and real datasets generated with different single-cell techno…

0301 basic medicineEpigenomicsMultifactor Dimensionality ReductionComputer scienceGeneral Physics and Astronomy02 engineering and technologyOmics dataMyoblastsMiceSingle-cell analysisGATA1 Transcription FactorMyeloid CellsLymphocyteslcsh:ScienceData processingMultidisciplinaryQGene Expression Regulation DevelopmentalRNA sequencingCell DifferentiationGenomics021001 nanoscience & nanotechnologyData processingDNA-Binding ProteinsInterferon Regulatory FactorsSingle-Cell Analysis0210 nano-technologyAlgorithmsOmics technologiesSignal TransductionLineage differentiationScienceComputational biologyGeneral Biochemistry Genetics and Molecular BiologyArticle03 medical and health sciencesErythroid CellsAnimalsCell LineageGeneral Chemistrydevelopmental trajectories visualizationHematopoietic Stem CellsPipeline (software)Visualization030104 developmental biologyTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESCellular heterogeneitySingle cell analysilcsh:QGene expressionTranscriptomeTranscription FactorsNature Communications
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Ancient bacterial genomes reveal a high diversity of Treponema pallidum Strains in early Modern Europe

2020

Syphilis is a globally re-emerging disease, which has marked European history with a devastating epidemic at the end of the 15th century. Together with non-venereal treponemal diseases, like bejel and yaws, which are found today in subtropical and tropical regions, it currently poses a substantial health threat worldwide. The origins and spread of treponemal diseases remain unresolved, including syphilis’ potential introduction into Europe from the Americas. Here, we present the first genetic data from archaeological human remains reflecting a high diversity of Treponema pallidum in early modern Europe. Our study demonstrates that a variety of strains related to both venereal syphilis and y…

0301 basic medicineLineage (evolution)TPRKDiseaseSubspeciesANNOTATION0302 clinical medicineEPIDEMIOLOGYHistory 15th CenturyTreponemaAncient DNAbiologyORIGINAncient DNA; Pathogen evolution; Treponema pallidum; Syphilis; Yaws2800 General Neuroscience10218 Institute of Legal Medicine3. Good healthEuropeMANIFESTATIONSArchaeologySister group1181 Ecology evolutionary biologyGeneral Agricultural and Biological Sciences610 Medicine & healthGenetics and Molecular Biology1100 General Agricultural and Biological SciencesPathogen evolutionGeneral Biochemistry Genetics and Molecular BiologyUFSP13-7 Evolution in Action: From Genomes to Ecosystems03 medical and health sciences1300 General Biochemistry Genetics and Molecular BiologymedicineHumansSYPHILIS SPIROCHETETreponema pallidumSyphilisDNA AncientIDENTIFICATIONGenetic Variationbiology.organism_classificationmedicine.diseaseHistory MedievalDNA-SEQUENCES030104 developmental biologyAncient DNAEvolutionary biologyYaws11294 Institute of Evolutionary MedicineGeneral BiochemistryVISUALIZATIONSyphilisEarly modern EuropeGenome Bacterial030217 neurology & neurosurgery
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