Search results for "Computer Science"

showing 10 items of 22367 documents

A new parallel pipeline for DNA methylation analysis of long reads datasets

2017

Background DNA methylation is an important mechanism of epigenetic regulation in development and disease. New generation sequencers allow genome-wide measurements of the methylation status by reading short stretches of the DNA sequence (Methyl-seq). Several software tools for methylation analysis have been proposed over recent years. However, the current trend is that the new sequencers and the ones expected for an upcoming future yield sequences of increasing length, making these software tools inefficient and obsolete. Results In this paper, we propose a new software based on a strategy for methylation analysis of Methyl-seq sequencing data that requires much shorter execution times while…

0301 basic medicineComputer scienceParallel pipelineADN02 engineering and technologycomputer.software_genreBiochemistrySensitivity and SpecificityDNA sequencingEpigenesis Genetic03 medical and health scienceschemistry.chemical_compoundStructural BiologyRNA analysisInformàticaDatabases Genetic0202 electrical engineering electronic engineering information engineeringHumansEpigeneticsMolecular Biology020203 distributed computingDNA methylationGenome HumanApplied MathematicsParallel pipelineMethylationSequence Analysis DNASupercomputerComputer Science ApplicationsGenòmica030104 developmental biologychemistryGene Expression RegulationDNA methylationMutationData miningHigh performance computingDNA microarraycomputerSequence AlignmentDNASoftware
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2019

As rats learn to search for multiple sources of food or water in a complex environment, they generate increasingly efficient trajectories between reward sites. Such spatial navigation capacity involves the replay of hippocampal place-cells during awake states, generating small sequences of spatially related place-cell activity that we call "snippets". These snippets occur primarily during sharp-wave-ripples (SWRs). Here we focus on the role of such replay events, as the animal is learning a traveling salesperson task (TSP) across multiple trials. We hypothesize that snippet replay generates synthetic data that can substantially expand and restructure the experience available and make learni…

0301 basic medicineComputer sciencePlace cellMachine learningcomputer.software_genreSpatial memorySynthetic data03 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineModels of neural computationGeneticsReinforcement learningMolecular BiologyEcology Evolution Behavior and SystematicsEcologybusiness.industryReservoir computingSnippet030104 developmental biologyComputational Theory and MathematicsModeling and SimulationSequence learningArtificial intelligencebusinesscomputer030217 neurology & neurosurgeryPLOS Computational Biology
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miRToolsGallery: a tag-based and rankable microRNA bioinformatics resources database portal

2017

Abstract Hundreds of bioinformatics tools have been developed for MicroRNA (miRNA) investigations including those used for identification, target prediction, structure and expression profile analysis. However, finding the correct tool for a specific application requires the tedious and laborious process of locating, downloading, testing and validating the appropriate tool from a group of nearly a thousand. In order to facilitate this process, we developed a novel database portal named miRToolsGallery. We constructed the portal by manually curating > 950 miRNA analysis tools and resources. In the portal, a query to locate the appropriate tool is expedited by being searchable, filterable and …

0301 basic medicineComputer scienceProcess (engineering)media_common.quotation_subjectmiRToolsGallerycomputer.software_genreBioinformaticsGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesUpload0302 clinical medicinetyövälineetFunction (engineering)Data Curationmedia_commonStructure (mathematical logic)DatabaseData curationSequence Analysis RNAbioinformatiikkabioinformaticsMicroRNAsIdentification (information)Database Tool030104 developmental biologyRankingFeature (computer vision)toolsta1181Databases Nucleic AcidGeneral Agricultural and Biological SciencescomputerAlgorithms030217 neurology & neurosurgeryInformation SystemsDatabase
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Revealing community structures by ensemble clustering using group diffusion

2018

We propose an ensemble clustering approach using group diffusion to reveal community structures in data. We represent data points as a directed graph and assume each data point belong to single cluster membership instead of multiple memberships. The method is based on the concept of ensemble group diffusion with a parameter to represent diffusion depth in clustering. The ability to modulate the diffusion-depth parameter by varying it within a certain interval allows for more accurate construction of clusters. Depending on the value of the diffusion-depth parameter, the presented approach can determine very well both local clusters and global structure of data. At the same time, the ability …

0301 basic medicineComputer scienceProperty (programming)Markov chain02 engineering and technologyInterval (mathematics)03 medical and health sciencesdiffuusio (fysikaaliset ilmiöt)0202 electrical engineering electronic engineering information engineeringCluster (physics)SegmentationDiffusion (business)Cluster analysista113ta213diffusionDirected graph030104 developmental biologyData pointHardware and ArchitectureSignal Processingyhdyskuntarakenne020201 artificial intelligence & image processingsocial networkcommunity structureAlgorithmSoftwareInformation Systemsclustering
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Automatic detection of hemangiomas using unsupervised segmentation of regions of interest

2016

In this paper we compare the performances of three automatic methods of identifying hemangioma regions in images: 1) unsupervised segmentation using the Otsu method, 2) Fuzzy C-means clustering (FCM) and 3) an improved region growing algorithm based on FCM (RG-FCM). For each image, the starting point of the algorithms is a rectangular region of interest (ROI) containing the hemangioma. For computing the performances of each method, the ROIs had been manually labeled in 2 classes: pixels of hemangioma and pixels of non-hemangioma. The computed scores are given separately for each image, as well as global performances across all ROIs for both classes. The best classification of non-hemangioma…

0301 basic medicineComputer scienceScale-space segmentation02 engineering and technologyOtsu's methodHemangioma03 medical and health sciencessymbols.namesakeMinimum spanning tree-based segmentationRegion of interestHistogram0202 electrical engineering electronic engineering information engineeringmedicineComputer visionSegmentation-based object categorizationbusiness.industryPattern recognitionImage segmentationmedicine.diseaseStatistical classification030104 developmental biologyRegion growingsymbols020201 artificial intelligence & image processingArtificial intelligencebusiness2016 International Conference on Communications (COMM)
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Deep learning network for exploiting positional information in nucleosome related sequences

2017

A nucleosome is a DNA-histone complex, wrapping about 150 pairs of double-stranded DNA. The role of nucleosomes is to pack the DNA into the nucleus of the Eukaryote cells to form the Chromatin. Nucleosome positioning genome wide play an important role in the regulation of cell type-specific gene activities. Several biological studies have shown sequence specificity of nucleosome presence, clearly underlined by the organization of precise nucleotides substrings. Taking into consideration such advances, the identification of nucleosomes on a genomic scale has been successfully performed by DNA sequence features representation and classical supervised classification methods such as Support Vec…

0301 basic medicineComputer scienceSpeech recognitionCell02 engineering and technologyComputational biologyGenomeDNA sequencing03 medical and health scienceschemistry.chemical_compoundDeep Learning0202 electrical engineering electronic engineering information engineeringmedicineNucleosomeNucleotideGeneSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionichemistry.chemical_classificationSequenceSettore INF/01 - Informaticabiologybusiness.industryDeep learningnucleosomebiology.organism_classificationSubstringChromatinIdentification (information)030104 developmental biologymedicine.anatomical_structurechemistry020201 artificial intelligence & image processingEukaryoteNucleosome classification Epigenetic Deep learning networks Recurrent Neural NetworksArtificial intelligencebusinessDNA
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A comprehensive review of energy sources for unmanned aerial vehicles, their shortfalls and opportunities for improvements

2020

Unmanned Aerial Vehicles were first introduced almost 40 years ago and their applications have increased and diversified substantially since then, in both commercial and private use. One of the UAVs main issues when it comes to mobility is that the power sources available are inadequate, this highlights an area for improvement as the interest in drones is on the increase. There exist many different types of power supplies applied to UAVs, however each has their own limitations and strengths that pertain to weight contributions, charging and discharging times, size, payload capabilities, energy density and power density. The aim of this paper is to review the main power sources available for…

0301 basic medicineComputer scienceSuper-capacitor (SC)Review Article03 medical and health sciencesEnergy storage technology0302 clinical medicineElectric power transmissionLithium-polymer (Li-Po)lcsh:Social sciences (General)lcsh:Science (General)MultidisciplinaryEnergyPayloadHydrogen energyFuel cellFuel technology(FC)DroneVDP::Teknologi: 500030104 developmental biologyElectric power transmissionAerospace engineeringRisk analysis (engineering)Electrical engineeringEnergy densityUnmanned aerial vehicle (UAV)Fuel cellslcsh:H1-99Energy source030217 neurology & neurosurgerylcsh:Q1-390Heliyon
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Topographic Independent Component Analysis reveals random scrambling of orientation in visual space

2017

Neurons at primary visual cortex (V1) in humans and other species are edge filters organized in orientation maps. In these maps, neurons with similar orientation preference are clustered together in iso-orientation domains. These maps have two fundamental properties: (1) retinotopy, i.e. correspondence between displacements at the image space and displacements at the cortical surface, and (2) a trade-off between good coverage of the visual field with all orientations and continuity of iso-orientation domains in the cortical space. There is an active debate on the origin of these locally continuous maps. While most of the existing descriptions take purely geometric/mechanistic approaches whi…

0301 basic medicineComputer scienceVisionVisual spaceStatistics as Topiclcsh:MedicineSocial SciencesSpace (mathematics)Scramblingchemistry.chemical_compound0302 clinical medicineCognitionLearning and MemoryAnimal CellsMedicine and Health SciencesPsychologylcsh:Sciencemedia_commonVisual CortexNeuronsMammalsObject RecognitionCoding MechanismsBrain MappingMultidisciplinaryGeographyOrientation (computer vision)Visual fieldmedicine.anatomical_structureVertebratesSensory PerceptionCellular TypesAnatomyNeuronal TuningResearch ArticleCartographyPrimatesmedia_common.quotation_subjectOcular AnatomyRetina03 medical and health sciencesTopographic MapsOcular SystemMemoryPerceptionOrientationNeuronal tuningmedicineAnimalsHumansCortical surfaceComputational NeuroscienceRetinabusiness.industrylcsh:ROrganismsCognitive PsychologyBiology and Life SciencesComputational BiologyRetinalPattern recognitionCell Biology030104 developmental biologyVisual cortexchemistryRetinotopyCellular NeuroscienceAmniotesEarth SciencesCognitive Sciencelcsh:QPerceptionArtificial intelligencebusiness030217 neurology & neurosurgeryNeurosciencePLoS ONE
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SpCLUST: Towards a fast and reliable clustering for potentially divergent biological sequences

2019

International audience; This paper presents SpCLUST, a new C++ package that takes a list of sequences as input, aligns them with MUSCLE, computes their similarity matrix in parallel and then performs the clustering. SpCLUST extends a previously released software by integrating additional scoring matrices which enables it to cover the clustering of amino-acid sequences. The similarity matrix is now computed in parallel according to the master/slave distributed architecture, using MPI. Performance analysis, realized on two real datasets of 100 nucleotide sequences and 1049 amino-acids ones, show that the resulting library substantially outperforms the original Python package. The proposed pac…

0301 basic medicineComputer science[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE]Health Informatics[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing03 medical and health sciences[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]0302 clinical medicineSoftware[INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Cluster AnalysisHumansCluster analysis[INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]computer.programming_languagebusiness.industry[INFO.INFO-IU] Computer Science [cs]/Ubiquitous ComputingSimilarity matrixPattern recognitionDNAGenomicsSequence Analysis DNAPython (programming language)Mixture model[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationSpectral clusteringComputer Science Applications030104 developmental biologyComputingMethodologies_PATTERNRECOGNITION[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationArtificial intelligence[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businesscomputerAlgorithmsSoftware030217 neurology & neurosurgery
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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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