Search results for "computational"

showing 10 items of 5884 documents

Q-nexus: a comprehensive and efficient analysis pipeline designed for ChIP-nexus

2016

Background: ChIP-nexus, an extension of the ChIP-exo protocol, can be used to map the borders of protein-bound DNA sequences at nucleotide resolution, requires less input DNA and enables selective PCR duplicate removal using random barcodes. However, the use of random barcodes requires additional preprocessing of the mapping data, which complicates the computational analysis. To date, only a very limited number of software packages are available for the analysis of ChIP-exo data, which have not yet been systematically tested and compared on ChIP-nexus data. Results: Here, we present a comprehensive software package for ChIP-nexus data that exploits the random barcodes for selective removal …

0301 basic medicineFOS: Computer and information sciencesDuplication ratesChromatin ImmunoprecipitationBioinformaticsPipeline (computing)610Biologycomputer.software_genre600 Technik Medizin angewandte Wissenschaften::610 Medizin und Gesundheit03 medical and health sciencesSoftwareChIP-nexusGeneticsPreprocessorNucleotide MotifsLibrary complexityChIP-exoGeneticsProtocol (science)Binding Sitesbusiness.industryfungiComputational BiologyHigh-Throughput Nucleotide SequencingReproducibility of ResultsChipChromatin immunoprecipitationData mappingDNA-Binding ProteinsAlgorithm030104 developmental biologyChIP-exoData miningbusinessPeak callingcomputerAlgorithmsSoftwareProtein BindingTranscription FactorsResearch ArticleBiotechnologyBMC Genomics
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Alignment-free sequence comparison using absent words

2018

Sequence comparison is a prerequisite to virtually all comparative genomic analyses. It is often realised by sequence alignment techniques, which are computationally expensive. This has led to increased research into alignment-free techniques, which are based on measures referring to the composition of sequences in terms of their constituent patterns. These measures, such as $q$-gram distance, are usually computed in time linear with respect to the length of the sequences. In this paper, we focus on the complementary idea: how two sequences can be efficiently compared based on information that does not occur in the sequences. A word is an {\em absent word} of some sequence if it does not oc…

0301 basic medicineFOS: Computer and information sciencesFormal Languages and Automata Theory (cs.FL)Computer Science - Formal Languages and Automata TheorySequence alignmentInformation System0102 computer and information sciencesCircular wordAbsent words01 natural sciencesUpper and lower boundsSequence comparisonTheoretical Computer ScienceCombinatorics03 medical and health sciencesComputer Science - Data Structures and AlgorithmsData Structures and Algorithms (cs.DS)Absent wordCircular wordsMathematicsSequenceSettore INF/01 - InformaticaProcess (computing)q-gramComputer Science Applications1707 Computer Vision and Pattern Recognitionq-gramsComposition (combinatorics)Computer Science Applications030104 developmental biologyComputational Theory and MathematicsForbidden words010201 computation theory & mathematicsFocus (optics)Forbidden wordWord (computer architecture)Information SystemsInteger (computer science)
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Integrative analysis of structural variations using short-reads and linked-reads yields highly specific and sensitive predictions.

2020

Genetic diseases are driven by aberrations of the human genome. Identification of such aberrations including structural variations (SVs) is key to our understanding. Conventional short-reads whole genome sequencing (cWGS) can identify SVs to base-pair resolution, but utilizes only short-range information and suffers from high false discovery rate (FDR). Linked-reads sequencing (10XWGS) utilizes long-range information by linkage of short-reads originating from the same large DNA molecule. This can mitigate alignment-based artefacts especially in repetitive regions and should enable better prediction of SVs. However, an unbiased evaluation of this technology is not available. In this study, w…

0301 basic medicineFalse discovery rateComputer scienceArtificial Gene Amplification and ExtensionPolymerase Chain ReactionDatabase and Informatics MethodsSequencing techniques0302 clinical medicineBreast TumorsBasic Cancer ResearchMedicine and Health SciencesDNA sequencingBiology (General)EcologyHigh-Throughput Nucleotide SequencingGenomicsDNA Neoplasm3. Good healthIdentification (information)OncologyComputational Theory and MathematicsModeling and SimulationMCF-7 CellsFemaleSequence AnalysisResearch ArticleBioinformaticsQH301-705.5Breast NeoplasmsGenomicsComputational biologyResearch and Analysis MethodsHuman Genomics03 medical and health sciencesCellular and Molecular NeuroscienceCancer GenomicsGenomic MedicineBreast CancerGeneticsDNA Barcoding TaxonomicHumansMolecular Biology TechniquesMolecular BiologyEcology Evolution Behavior and SystematicsWhole genome sequencingLinkage (software)Whole Genome SequencingGenome HumanDideoxy DNA sequencingGenetic Diseases InbornCancers and NeoplasmsBiology and Life SciencesComputational BiologyStatistical modelSequence Analysis DNARepetitive RegionsLogistic Models030104 developmental biologyGenomic Structural VariationHuman genomeSequence Alignment030217 neurology & neurosurgeryPLoS Computational Biology
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Biophysics of high density nanometer regions extracted from super-resolution single particle trajectories: application to voltage-gated calcium chann…

2019

AbstractThe cellular membrane is very heterogenous and enriched with high-density regions forming microdomains, as revealed by single particle tracking experiments. However the organization of these regions remain unexplained. We determine here the biophysical properties of these regions, when described as a basin of attraction. We develop two methods to recover the dynamics and local potential wells (field of force and boundary). The first method is based on the local density of points distribution of trajectories, which differs inside and outside the wells. The second method focuses on recovering the drift field that is convergent inside wells and uses the transient field to determine the…

0301 basic medicineField (physics)1.1 Normal biological development and functioningHigh densityBoundary (topology)lcsh:Medicine32 Biomedical and Clinical SciencesLocal field potentialArticleQuantitative Biology::Cell BehaviorQuantitative Biology::Subcellular ProcessesComputational biophysics03 medical and health sciences0302 clinical medicineSingle-molecule biophysics1 Underpinning researchlcsh:SciencePhysicsMultidisciplinary3208 Medical PhysiologyVoltage-dependent calcium channelFOS: Clinical medicinelcsh:RNeurosciencesScientific data030104 developmental biologyParticleNanometrelcsh:QBiological systemBiological physics51 Physical Sciences030217 neurology & neurosurgeryEnergy (signal processing)
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Skeletal Dysplasia Mutations Effect on Human Filamins’ Structure and Mechanosensing

2016

AbstractCells’ ability to sense mechanical cues in their environment is crucial for fundamental cellular processes, leading defects in mechanosensing to be linked to many diseases. The actin cross-linking protein Filamin has an important role in the conversion of mechanical forces into biochemical signals. Here, we reveal how mutations in Filamin genes known to cause Larsen syndrome and Frontometaphyseal dysplasia can affect the structure and therefore function of Filamin domains 16 and 17. Employing X-ray crystallography, the structure of these domains was first solved for the human Filamin B. The interaction seen between domains 16 and 17 is broken by shear force as revealed by steered mo…

0301 basic medicineFilaminsScienceProtein domainPeptide bindingPlasma protein bindingmacromolecular substancesBiologyMolecular Dynamics SimulationFilaminmedicine.disease_causeBioinformaticsCrystallography X-RayOsteochondrodysplasiasMechanotransduction CellularArticlecomputational biophysics03 medical and health sciences0302 clinical medicineProtein DomainsmedicineHumansLarsen syndromeForeheadMechanotransductionNMR-spektroskopiaActinMutationMultidisciplinaryBinding SitesQRSAXSmedicine.diseasecytoskeletal proteinsActinsCell biologybody regions030104 developmental biologyMutationMedicine030217 neurology & neurosurgeryröntgenkristallografiaProtein Binding
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2016

We determine knotting probabilities and typical sizes of knots in double-stranded DNA for chains of up to half a million base pairs with computer simulations of a coarse-grained bead-stick model: Single trefoil knots and composite knots which include at least one trefoil as a prime factor are shown to be common in DNA chains exceeding 250,000 base pairs, assuming physiologically relevant salt conditions. The analysis is motivated by the emergence of DNA nanopore sequencing technology, as knots are a potential cause of erroneous nucleotide reads in nanopore sequencing devices and may severely limit read lengths in the foreseeable future. Even though our coarse-grained model is only based on …

0301 basic medicineGel electrophoresis of nucleic acidsBase pairMonte Carlo methodBiologyBioinformatics01 natural sciences03 medical and health sciencesCellular and Molecular Neurosciencechemistry.chemical_compoundstomatognathic system0103 physical sciencesGeneticsStatistical physics010306 general physicsMolecular BiologyTrefoilEcology Evolution Behavior and SystematicsPersistence lengthQuantitative Biology::BiomoleculesEcologyfood and beveragesMathematics::Geometric TopologyNanoporesurgical procedures operative030104 developmental biologyComputational Theory and MathematicschemistryModeling and SimulationNanopore sequencingDNAPLOS Computational Biology
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Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes

2020

In clinical trials, animal and cell line models are often used to evaluate the potential toxic effects of a novel compound or candidate drug before progressing to human trials. However, relating the results of animal and in vitro model exposures to relevant clinical outcomes in the human in vivo system still proves challenging, relying on often putative orthologs. In recent years, multiple studies have demonstrated that the repeated dose rodent bioassay, the current gold standard in the field, lacks sufficient sensitivity and specificity in predicting toxic effects of pharmaceuticals in humans. In this study, we evaluate the potential of deep learning techniques to translate the pattern of …

0301 basic medicineGene ExpressionGene Expression Regulation/drug effectsPathology and Laboratory MedicineConvolutional neural networkTOXICITYMachine LearningVoeding Metabolisme en GenomicaTime Measurement0302 clinical medicineGene expressionMedicine and Health SciencesMeasurementClinical Trials as TopicMultidisciplinaryArtificial neural networkPharmaceuticsQRMetabolism and GenomicsTOXICOGENOMICS030220 oncology & carcinogenesisMetabolisme en GenomicaMedicineEngineering and TechnologyNutrition Metabolism and GenomicsHepatocytes/drug effectsAlgorithmsResearch ArticleComputer and Information SciencesClinical Trials as Topic/statistics & numerical dataNeural NetworksGenetic ToxicologyTOXICOLOGYSciencePredictive ToxicologyComputational biologyBiologyComputer03 medical and health sciencesDose Prediction MethodsDeep LearningVoedingArtificial IntelligenceIn vivoGeneticsLife ScienceAnimalsHumansGeneNutritionbusiness.industryDeep learningBiology and Life SciencesGold standard (test)REPRESENTATIONSRats030104 developmental biologyGene Expression RegulationHepatocytesArtificial intelligenceNeural Networks ComputerToxicogenomicsbusinessNeuroscience
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Histone Deacetylase Inhibitors from Marine Invertebrates

2020

Simple Summary Histone deacetylases (HDACs) are enzymes that control gene expression and are involved in the onset of serious human pathologies, including cancer; hence, their inhibitors (HDACis) have received increased attention in recent years. It is known that marine invertebrates produce significant amounts of molecules showing active pharmacological properties and an extensive spectrum of biomedical applications. This review is focused on the description of the molecular, biochemical, and, where available, physiological aspects of marine invertebrate-derived compounds that possess HDACi properties, taking into consideration their possible utilization as treatment agents against differe…

0301 basic medicineGene isoformbiomedical applicationsmarine invertebratesSettore BIO/05 - ZoologiaComputational biologyReviewhistone deacetylase inhibitorsGeneral Biochemistry Genetics and Molecular BiologyChromatin remodelinganticancer compound03 medical and health sciencesCnidaria0302 clinical medicineNon-histone proteinmarine invertebrateGene expressionEpigeneticsSettore BIO/06 - Anatomia Comparata E Citologiahistone deacetylase inhibitorlcsh:QH301-705.5General Immunology and MicrobiologybiologyMarine invertebratesanticancer compoundsPorifera030104 developmental biologyHistonelcsh:Biology (General)030220 oncology & carcinogenesisbiology.proteinbiomedical applicationHistone deacetylaseGeneral Agricultural and Biological SciencesEchinodermataBiology
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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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Common Hits Approach: Combining Pharmacophore Modeling and Molecular Dynamics Simulations.

2017

We present a new approach that incorporates flexibility based on extensive MD simulations of protein-ligand complexes into structure-based pharmacophore modeling and virtual screening. The approach uses the multiple coordinate sets saved during the MD simulations and generates for each frame a pharmacophore model. Pharmacophore models with the same pharmacophore features are pooled. In this way the high number of pharmacophore models that results from the MD simulation is reduced to only a few hundred representative pharmacophore models. Virtual screening runs are performed with every representative pharmacophore model; the screening results are combined and rescored to generate a single hi…

0301 basic medicineGeneral Chemical EngineeringDrug Evaluation PreclinicalLibrary and Information SciencesMolecular Dynamics Simulationcomputer.software_genreLigandsLigandScoutCommon Hits Approach (CHA)03 medical and health sciencesMolecular dynamicsUser-Computer InterfaceComputational chemistryPharmacophore ModelingFlexibility (engineering)Virtual screeningChemistryFrame (networking)ProteinsGeneral ChemistryInto-structureSettore CHIM/08 - Chimica FarmaceuticaComputer Science Applications030104 developmental biologyData miningPharmacophorecomputerJournal of chemical information and modeling
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