Search results for "Biological data"

showing 10 items of 53 documents

NeuPAT: an intranet database supporting translational research in neuroblastic tumors.

2013

Translational research in oncology is directed mainly towards establishing a better risk stratification and searching for appropriate therapeutic targets. This research generates a tremendous amount of complex clinical and biological data needing speedy and effective management. The authors describe the design, implementation and early experiences of a computer-aided system for the integration and management of data for neuroblastoma patients. NeuPAT facilitates clinical and translational research, minimizes the workload in consolidating the information, reduces errors and increases correlation of data through extensive coding. This design can also be applied to other tumor types.

MaleBiological dataIntranetDatabases Factualbusiness.industryHealth InformaticsEffective managementWorkloadTranslational researchBioinformaticsNeuroblastic TumorData scienceComputer Science ApplicationsTranslational Research BiomedicalComputer Communication NetworksNeuroblastomaRisk stratificationMedicineHumansFemalebusinessCoding (social sciences)Computers in biology and medicine
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Exceptional Pattern Discovery

2017

This chapter is devoted to a discussion on exceptional pattern discovery, namely on scenarios, contexts, and techniques concerning the mining of patterns which are so rare or so frequent to be considered as exceptional and, then, of interest for an expert to shed lights on the domain. Frequent patterns have found broad applications in areas like association rule mining, indexing, and clustering [1, 20, 23]. The application of frequent patterns in classification also achieved some success in the classification of relational data [6, 13, 14, 19, 25], text [15], and graphs [7]. The part is organized as follows. First, the frequent pattern mining on classical datasets is presented. This is not …

0301 basic medicineBiological dataPoint (typography)Association rule learningComputer scienceRelational databasebusiness.industrySearch engine indexingcomputer.software_genreDomain (software engineering)Network pattern03 medical and health sciences030104 developmental biology0302 clinical medicineArtificial intelligenceCluster analysisbusinesscomputer030217 neurology & neurosurgeryNatural language processing
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Capacity building in clinical and molecular characterization of rare neurodegenerative diseases through the development of a local register and impro…

2020

Neurodegenerative diseases (NDs) are very polymorphic and affect people of all ages. They concern both rare diseases and more common diseases. Improving knowledge of NDs in the French Caribbean region requires special attention because of the unique environmental and genetic background of its populations. In Martinique, there is a huge need for scientific research on rare NDs. While epidemiological and clinical research has increased over the past decade in the French West Indies, there is still little or no data on the genetics of NDs in these regions. The advent of Next Generation Sequencing (NGS) on a global scale has the potential to make a difference in this field, provided that techno…

education.field_of_studybusiness.industryPopulationBiological databaseCapacity buildingGeneral MedicineBioinformaticsOutreachGeographyCaribbean regionHealth carebusinesseducationMartiniqueExome sequencingJournal of Global Health Reports
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The Three Steps of Clustering In The Post-Genomic Era

2013

This chapter descibes the basic algorithmic components that are involved in clustering, with particular attention to classification of microarray data.

Clustering high-dimensional dataSettore INF/01 - Informaticabusiness.industryCorrelation clusteringPattern recognitioncomputer.software_genreBiclusteringCURE data clustering algorithmClustering Classification Biological Data MiningConsensus clusteringArtificial intelligenceData miningbusinessCluster analysiscomputerMathematics
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Novel Combinatorial and Information-Theoretic Alignment-Free Distances for Biological Data Mining

2010

Among the plethora of alignment-free methods for comparing biological sequences, there are some that we have perceived as representative of the novel techniques that have been devised in the past few years and as being of a fundamental nature and of broad interest and applicability, ranging from combinatorics to information theory. In this chapter, we review these alignment free methods, by presenting both their mathematical definitions and the experiments in which they are involved in.

Settore INF/01 - InformaticaComputer scienceAlignment-free distances for biological sequenceBiological data miningData miningcomputer.software_genrecomputer
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Pathway analysis of high-throughput biological data within a Bayesian network framework

2011

Abstract Motivation: Most current approaches to high-throughput biological data (HTBD) analysis either perform individual gene/protein analysis or, gene/protein set enrichment analysis for a list of biologically relevant molecules. Bayesian Networks (BNs) capture linear and non-linear interactions, handle stochastic events accounting for noise, and focus on local interactions, which can be related to causal inference. Here, we describe for the first time an algorithm that models biological pathways as BNs and identifies pathways that best explain given HTBD by scoring fitness of each network. Results: Proposed method takes into account the connectivity and relatedness between nodes of the p…

Statistics and ProbabilityComputer scienceHigh-throughput screeningGene regulatory networkcomputer.software_genreModels BiologicalBiochemistrySynthetic dataBiological pathwayBayes' theoremHumansGene Regulatory NetworksCarcinoma Renal CellMolecular BiologyGeneBiological dataMicroarray analysis techniquesGene Expression ProfilingBayesian networkRobustness (evolution)Bayes TheoremPathway analysisKidney NeoplasmsHigh-Throughput Screening AssaysComputer Science ApplicationsGene expression profilingComputational MathematicsComputational Theory and MathematicsCausal inferenceData miningcomputerAlgorithmsSoftwareBioinformatics
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Unexpected associated microalgal diversity in the lichen Ramalina farinacea is uncovered by pyrosequencing analyses

2017

The current literature reveals that the intrathalline coexistence of multiple microalgal taxa in lichens is more common than previously thought, and additional complexity is supported by the coexistence of bacteria and basidiomycete yeasts in lichen thalli. This replaces the old paradigm that lichen symbiosis occurs between a fungus and a single photobiont. The lichen Ramalina farinacea has proven to be a suitable model to study the multiplicity of microalgae in lichen thalli due to the constant coexistence of Trebouxia sp. TR9 and T. jamesii in long-distance populations. To date, studies involving phycobiont diversity within entire thalli are based on Sanger sequencing, but this method see…

0301 basic medicinelcsh:MedicineLichenologyArtificial Gene Amplification and ExtensionPlant SciencePolymerase Chain ReactionDatabase and Informatics MethodsDiversity indexMicroalgaeCluster AnalysisDNA Fungallcsh:ScienceLichenPhylogenyData ManagementMultidisciplinaryEcologybiologyEcologyPhylogenetic AnalysisBiodiversitysymbiosisThallusPhylogeneticspyrosequencingLichenologyTrebouxiaSequence AnalysisResearch ArticleTrebouxiaComputer and Information SciencesBioinformaticsSequence DatabasesReal-Time Polymerase Chain ReactionResearch and Analysis MethodslichenRamalina farinacea03 medical and health sciencesAscomycotaAlgaelichen photobionts pyrosequencing symbiosis TrebouxiaBotanyEvolutionary SystematicsMolecular Biology TechniquesMolecular BiologyDNA sequence analysisTaxonomyEvolutionary BiologyEcology and Environmental Scienceslcsh:RGenetic VariationBiology and Life SciencesSequence Analysis DNAReverse Transcriptase-Polymerase Chain Reactionbiology.organism_classificationBiological Databases030104 developmental biologyphotobiontsPyrosequencinglcsh:QSequence AlignmentPLOS ONE
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Missing value imputation in proximity extension assay-based targeted proteomics data

2020

Targeted proteomics utilizing antibody-based proximity extension assays provides sensitive and highly specific quantifications of plasma protein levels. Multivariate analysis of this data is hampered by frequent missing values (random or left censored), calling for imputation approaches. While appropriate missing-value imputation methods exist, benchmarks of their performance in targeted proteomics data are lacking. Here, we assessed the performance of two methods for imputation of values missing completely at random, the previously top-benchmarked ‘missForest’ and the recently published ‘GSimp’ method. Evaluation was accomplished by comparing imputed with remeasured relative concentrations…

ProteomicsMaleMultivariate analysisProtein ExpressionBiochemistryProtein expressionDatabase and Informatics MethodsLimit of DetectionStatisticsMedicine and Health SciencesBiochemical SimulationsImputation (statistics)Immune ResponseMathematicsMultidisciplinaryProteomic DatabasesQREukaryotaBlood ProteinsVenous ThromboembolismPlantsMiddle AgedLegumesTargeted proteomicssymbolsEngineering and TechnologyMedicineFemaleAlgorithmsResearch ArticleQuality ControlAdultScienceImmunologyResearch and Analysis Methodssymbols.namesakeSigns and SymptomsBiasIndustrial EngineeringProtein Concentration AssaysGene Expression and Vector TechniquesMissing value imputationHumansMolecular Biology TechniquesMolecular BiologyAgedInflammationMolecular Biology Assays and Analysis TechniquesInterleukin-6OrganismsPeasBiology and Life SciencesComputational BiologyMissing dataPearson product-moment correlation coefficientBiological DatabasesMultivariate AnalysisClinical MedicineVenous thromboembolismPLOS ONE
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MiasDB: A Database of Molecular Interactions Associated with Alternative Splicing of Human Pre-mRNAs.

2016

Alternative splicing (AS) is pervasive in human multi-exon genes and is a major contributor to expansion of the transcriptome and proteome diversity. The accurate recognition of alternative splice sites is regulated by information contained in networks of protein-protein and protein-RNA interactions. However, the mechanisms leading to splice site selection are not fully understood. Although numerous databases have been built to describe AS, molecular interaction databases associated with AS have only recently emerged. In this study, we present a new database, MiasDB, that provides a description of molecular interactions associated with human AS events. This database covers 938 interactions …

0301 basic medicineGene regulatory networklcsh:MedicineRNA-binding proteinRNA-binding proteinscomputer.software_genreBiochemistryHistonesExonDatabase and Informatics MethodsDatabases GeneticProtein Interaction MappingRNA PrecursorsGene Regulatory NetworksDatabase Searchinglcsh:ScienceMultidisciplinaryDatabaseExonsGenomicsGenomic DatabasesNucleic acidsRNA splicingProteomeSequence AnalysisResearch ArticleSequence DatabasesBiologyResponse ElementsResearch and Analysis MethodsGenome Complexity03 medical and health sciencesGeneticsHumansMolecular Biology TechniquesSequencing TechniquesProtein InteractionsGeneMolecular BiologyInternetlcsh:RAlternative splicingIntronBiology and Life SciencesComputational BiologyProteinsGenome AnalysisIntronsAlternative Splicing030104 developmental biologyBiological DatabasesRNA processingRNAlcsh:QRNA Splice SitesGene expressioncomputerProtein KinasesTranscription FactorsPloS one
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In silico identification and experimental validation of hits active against KPC-2 β-lactamase

2018

Bacterial resistance has become a worldwide concern, particularly after the emergence of resistant strains overproducing carbapenemases. Among these, the KPC-2 carbapenemase represents a significant clinical challenge, being characterized by a broad substrate spectrum that includes aminothiazoleoxime and cephalosporins such as cefotaxime. Moreover, strains harboring KPC-type β-lactamases are often reported as resistant to available β-lactamase inhibitors (clavulanic acid, tazobactam and sulbactam). Therefore, the identification of novel non β-lactam KPC-2 inhibitors is strongly necessary to maintain treatment options. This study explored novel, non-covalent inhibitors active against KPC-2, …

Genetics and Molecular Biology (all)Proteomics0301 basic medicineCefotaximeKlebsiella pneumoniaePathology and Laboratory MedicinePhysical ChemistryBiochemistryKlebsiella PneumoniaeDatabase and Informatics MethodsBiochemistry Genetics and Molecular Biology (all); Agricultural and Biological Sciences (all)AntibioticsKlebsiellaCatalytic DomainMedicine and Health Sciencespolycyclic compoundsDrug InteractionsCrystallographyMultidisciplinarybiologyAntimicrobialsOrganic CompoundsProteomic DatabasesChemistryPhysicsQRDrugsSulbactamCondensed Matter PhysicsBacterial PathogensChemistryBiochemistryMedical MicrobiologyPhysical SciencesCrystal StructureMedicinePathogensbeta-Lactamase InhibitorsResearch Articlemedicine.drugScienceIn silico030106 microbiologySulfonamideResearch and Analysis MethodsMicrobiologyMeropenemTazobactambeta-Lactamases03 medical and health sciencesBacterial ProteinsMicrobial ControlClavulanic acidmedicineSolid State PhysicsMicrobial PathogensPharmacologyLigand efficiencyChemical BondingBacteriaOrganic ChemistryChemical CompoundsOrganismsBiology and Life SciencesHydrogen Bondingbiochemical phenomena metabolism and nutritionbiology.organism_classificationbacterial infections and mycosesAmidesBiological Databases030104 developmental biologyAgricultural and Biological Sciences (all)
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