Search results for "DNA microarray"

showing 10 items of 99 documents

RIP-Chip analysis supports different roles for AGO2 and GW182 proteins in recruiting and processing microRNA targets.

2019

Background MicroRNAs (miRNAs) are small non-coding RNA molecules mediating the translational repression and degradation of target mRNAs in the cell. Mature miRNAs are used as a template by the RNA-induced silencing complex (RISC) to recognize the complementary mRNAs to be regulated. To discern further RISC functions, we analyzed the activities of two RISC proteins, AGO2 and GW182, in the MCF-7 human breast cancer cell line. Methods We performed three RIP-Chip experiments using either anti-AGO2 or anti-GW182 antibodies and compiled a data set made up of the miRNA and mRNA expression profiles of three samples for each experiment. Specifically, we analyzed the input sample, the immunoprecipita…

Chromatin ImmunoprecipitationSupport Vector MachineRIP-Chip data analysisMiRNA bindingComputational biologyBiologylcsh:Computer applications to medicine. Medical informaticsBiochemistryAutoantigens03 medical and health sciencesOpen Reading Frames0302 clinical medicineStructural BiologymicroRNARIP-Chip data analysiCoding regionGene silencingHumansRNA MessengerMolecular BiologyGenelcsh:QH301-705.5030304 developmental biology0303 health sciencesBinding SitesApplied MathematicsGene Expression ProfilingResearchRNARNA-Binding ProteinsmicroRNA target predictionRISC proteins AGO2 and GW182Computer Science ApplicationsSettore BIO/18 - GeneticaMicroRNAslcsh:Biology (General)Gene Expression Regulation030220 oncology & carcinogenesismicroRNA regulatory activityArgonaute ProteinsMCF-7 Cellslcsh:R858-859.7DNA microarrayRIP-ChipBMC bioinformatics
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Topological structure analysis of chromatin interaction networks.

2019

Abstract Background Current Hi-C technologies for chromosome conformation capture allow to understand a broad spectrum of functional interactions between genome elements. Although significant progress has been made into analysis of Hi-C data to identify biologically significant features, many questions still remain open, in particular regarding potential biological significance of various topological features that are characteristic for chromatin interaction networks. Results It has been previously observed that promoter capture Hi-C (PCHi-C) interaction networks tend to separate easily into well-defined connected components that can be related to certain biological functionality, however, …

Chromatin interaction networksFunctionally related modulesComputer scienceCellStructure (category theory)Topologylcsh:Computer applications to medicine. Medical informaticsBiochemistryGenomeChromosome conformation capture03 medical and health sciences0302 clinical medicineGraph topologyStructural BiologyComponent (UML)medicineHumansGene Regulatory NetworksCell type specificityPromoter Regions GeneticMolecular Biologylcsh:QH301-705.5030304 developmental biologyConnected component0303 health sciencesApplied MathematicsResearchChromatinComputer Science ApplicationsChromatinHematopoiesisIdentification (information)medicine.anatomical_structurelcsh:Biology (General)Gene Expression RegulationTopological graph theorylcsh:R858-859.7DNA microarray030217 neurology & neurosurgeryAlgorithmsBMC bioinformatics
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JANE: efficient mapping of prokaryotic ESTs and variable length sequence reads on related template genomes

2009

Abstract Background ESTs or variable sequence reads can be available in prokaryotic studies well before a complete genome is known. Use cases include (i) transcriptome studies or (ii) single cell sequencing of bacteria. Without suitable software their further analysis and mapping would have to await finalization of the corresponding genome. Results The tool JANE rapidly maps ESTs or variable sequence reads in prokaryotic sequencing and transcriptome efforts to related template genomes. It provides an easy-to-use graphics interface for information retrieval and a toolkit for EST or nucleotide sequence function prediction. Furthermore, we developed for rapid mapping an enhanced sequence align…

Computational biologyBiologylcsh:Computer applications to medicine. Medical informaticsBiochemistryGenomeUser-Computer InterfaceStructural BiologyDatabases Geneticlcsh:QH301-705.5Molecular BiologySequence (medicine)Expressed Sequence TagsWhole genome sequencingGeneticsInternetExpressed sequence tagGenomeBase SequencePhylumApplied MathematicsNucleic acid sequenceComputational BiologySequence Analysis DNAComputer Science Applicationslcsh:Biology (General)Single cell sequencinglcsh:R858-859.7DNA microarraySoftwareBMC Bioinformatics
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CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification

2020

Abstract Background Nucleosomes wrap the DNA into the nucleus of the Eukaryote cell and regulate its transcription phase. Several studies indicate that nucleosomes are determined by the combined effects of several factors, including DNA sequence organization. Interestingly, the identification of nucleosomes on a genomic scale has been successfully performed by computational methods using DNA sequence as input data. Results In this work, we propose CORENup, a deep learning model for nucleosome identification. CORENup processes a DNA sequence as input using one-hot representation and combines in a parallel fashion a fully convolutional neural network and a recurrent layer. These two parallel …

Computer scienceCelllcsh:Computer applications to medicine. Medical informaticsBiochemistryConvolutional neural networkDNA sequencingchemistry.chemical_compoundStructural BiologyTranscription (biology)medicineHumansNucleosomeA-DNAEpigeneticsMolecular Biologylcsh:QH301-705.5Nucleosome classificationSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabiologybusiness.industryApplied MathematicsDeep learningResearchEpigeneticPattern recognitionGenomicsbiology.organism_classificationNucleosomesComputer Science ApplicationsRecurrent neural networkmedicine.anatomical_structurechemistrylcsh:Biology (General)Recurrent neural networkslcsh:R858-859.7Deep learning networksEukaryoteNeural Networks ComputerArtificial intelligenceDNA microarraybusinessDNABMC Bioinformatics
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PVAmpliconFinder: a workflow for the identification of human papillomaviruses from high-throughput amplicon sequencing

2019

Abstract Background The detection of known human papillomaviruses (PVs) from targeted wet-lab approaches has traditionally used PCR-based methods coupled with Sanger sequencing. With the introduction of next-generation sequencing (NGS), these approaches can be revisited to integrate the sequencing power of NGS. Although computational tools have been developed for metagenomic approaches to search for known or novel viruses in NGS data, no appropriate tool is available for the classification and identification of novel viral sequences from data produced by amplicon-based methods. Results We have developed PVAmpliconFinder, a data analysis workflow designed to rapidly identify and classify kno…

Computer scienceComputational biologylcsh:Computer applications to medicine. Medical informaticsBiochemistryWorkflowUser-Computer Interface03 medical and health sciencessymbols.namesakeStructural BiologyHumansVirus discoverylcsh:QH301-705.5PapillomaviridaeMolecular BiologyThroughput (business)PhylogenyAmplicon sequencing030304 developmental biologySanger sequencing0303 health sciencesBiological data030306 microbiologyMethodology ArticleApplied MathematicsHigh-Throughput Nucleotide SequencingPapillomavirusAmpliconComputer Science ApplicationsIdentification (information)Workflowlcsh:Biology (General)MetagenomicsDNA ViralAmplicon sequencingsymbolslcsh:R858-859.7Primer (molecular biology)DNA microarrayBMC Bioinformatics
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2004

The current progress in sequencing projects calls for rapid, reliable and accurate function assignments of gene products. A variety of methods has been designed to annotate sequences on a large scale. However, these methods can either only be applied for specific subsets, or their results are not formalised, or they do not provide precise confidence estimates for their predictions. We have developed a large-scale annotation system that tackles all of these shortcomings. In our approach, annotation was provided through Gene Ontology terms by applying multiple Support Vector Machines (SVM) for the classification of correct and false predictions. The general performance of the system was bench…

ContigArtificial neural networkApplied MathematicsBiologycomputer.software_genreBiochemistryGenomeComputer Science ApplicationsTerm (time)Support vector machineAnnotationStructural BiologyControlled vocabularyData miningDNA microarrayMolecular BiologycomputerBMC Bioinformatics
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Evaluation of the DNA microarray “AMR Direct Flow Chip Kit” for detection of antimicrobial resistance genes from Gram-positive and Gram-negative bact…

2019

Abstract Introduction The AMR Direct Flow Chip assay allows the simultaneous detection of a large variety of antibiotic resistance genetic markers. To assess this kit's performance, we use isolated colonies as starting material. The assay has been approved by the European Economic Area as a suitable device for in vitro diagnosis (CE IVD) using clinical specimens. Methods A total of 210 bacterial isolates harbouring either one or more antimicrobial resistance genes including plasmid-encoded extended-spectrum β-lactamases (SHV, CTX-M) and carbapenemases (GES, SME, KPC, NMC/IMI, SIM, GIM, SPM, NDM, VIM, IMP, and OXA), mecA, vanA and vanB, and 30 controls were included. Results The assay displa…

DNA Bacterial0301 basic medicineMicrobiology (medical)030106 microbiologyGram-Positive BacteriaSensitivity and Specificitybeta-Lactam Resistancebeta-LactamasesMicrobiology03 medical and health sciences0302 clinical medicineAntibiotic resistanceBacterial ProteinsVancomycinDrug Resistance Multiple BacterialGram-Negative Bacteriapolycyclic compoundsmedicineHumans030212 general & internal medicineGeneGram-Positive Bacterial InfectionsOligonucleotide Array Sequence AnalysisGrambiologyDrug Resistance Microbialbiochemical phenomena metabolism and nutritionbacterial infections and mycosesbiology.organism_classificationIn vitroGenes BacterialGenetic markerVancomycinReagent Kits DiagnosticDNA microarrayGram-Negative Bacterial InfectionsBacteriamedicine.drugEnfermedades infecciosas y microbiologia clinica (English ed.)
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Impact of analytic provenance in genome analysis

2014

Background Many computational methods are available for assembly and annotation of newly sequenced microbial genomes. However, when new genomes are reported in the literature, there is frequently very little critical analysis of choices made during the sequence assembly and gene annotation stages. These choices have a direct impact on the biologically relevant products of a genomic analysis - for instance identification of common and differentiating regions among genomes in a comparison, or identification of enriched gene functional categories in a specific strain. Here, we examine the outcomes of different assembly and analysis steps in typical workflows in a comparison among strains of Vi…

DNA BacterialComparative genomicsGeneticsComputational BiologySequence assemblyMicrobiologiaMolecular Sequence AnnotationSequence Analysis DNAComputational biologyGene AnnotationBiologyGenomeAnnotationProceedingsWorkflowGenes BacterialBacteris patògensGeneticsIdentification (biology)DNA microarrayVibrio vulnificusGenome BacterialBiotechnologyBMC Genomics
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Transformation of follicular lymphoma to diffuse large cell lymphoma is associated with a heterogeneous set of DNA copy number and gene expression al…

2002

AbstractGenomic aberrations in a series of paired biopsy samples from patients who presented initially with follicle center lymphoma (FCL) and subsequently transformed to diffuse large B-cell lymphoma (DLBCL) were measured by array comparative genomic hybridization (CGH). The consequences of these aberrations on gene expression were determined by comparison with expression analysis on these specimens using cDNA microarrays. A heterogeneous pattern of acquired genomic abnormalities was observed upon transformation, some of which were recurrent in small subsets of patients. Some of the genomic aberration acquired upon transformation, such as gain/amplification of 1q21-q24, 2p16 (REL/BCL11A ge…

DNA ComplementaryImmunologyFollicular lymphomaLocus (genetics)BiologyAllelic ImbalanceBiochemistryGene duplicationmedicineChromosomes HumanHumansGeneLymphoma FollicularOligonucleotide Array Sequence AnalysisGeneticsChromosome AberrationsGene Expression ProfilingGene AmplificationCell BiologyHematologyDNA Neoplasmmedicine.diseaseBCL6Gene Expression Regulation NeoplasticCell Transformation NeoplasticDisease ProgressionLymphoma Large B-Cell DiffuseDNA microarrayChromosome DeletionDiffuse large B-cell lymphomaComparative genomic hybridizationBlood
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UVPAR: fast detection of functional shifts in duplicate genes.

2006

Abstract Background The imprint of natural selection on gene sequences is often difficult to detect. A plethora of methods have been devised to detect genetic changes due to selective processes. However, many of those methods depend heavily on underlying assumptions regarding the mode of change of DNA sequences and often require sophisticated mathematical treatments that made them computationally slow. The development of fast and effective methods to detect modifications in the selective constraints of genes is therefore of great interest. Results We describe UVPAR, a program designed to quickly test for changes in the functional constraints of duplicate genes. Starting with alignments of t…

DanioComputational biologyBiologylcsh:Computer applications to medicine. Medical informaticsBiochemistryDNA sequencingEvolution MolecularGenes DuplicateSequence Analysis ProteinStructural BiologySelection GeneticHox geneMolecular BiologyGenelcsh:QH301-705.5Selection (genetic algorithm)GeneticsNatural selectionApplied MathematicsProteinsSequence Analysis DNAbiology.organism_classificationComputer Science Applicationslcsh:Biology (General)lcsh:R858-859.7DNA microarraySequence AlignmentSoftwareAlgorithmsGenètica
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