Search results for "formation"

showing 10 items of 21020 documents

MetaCache: context-aware classification of metagenomic reads using minhashing.

2017

Abstract Motivation Metagenomic shotgun sequencing studies are becoming increasingly popular with prominent examples including the sequencing of human microbiomes and diverse environments. A fundamental computational problem in this context is read classification, i.e. the assignment of each read to a taxonomic label. Due to the large number of reads produced by modern high-throughput sequencing technologies and the rapidly increasing number of available reference genomes corresponding software tools suffer from either long runtimes, large memory requirements or low accuracy. Results We introduce MetaCache—a novel software for read classification using the big data technique minhashing. Our…

0301 basic medicineStatistics and ProbabilityComputer scienceSequence analysisContext (language use)BiochemistryGenome03 medical and health scienceschemistry.chemical_compound0302 clinical medicineRefSeqHumansMolecular BiologyInformation retrievalShotgun sequencingHigh-Throughput Nucleotide SequencingSequence Analysis DNAComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicschemistryMetagenomicsMetagenomics030217 neurology & neurosurgeryDNAAlgorithmsSoftwareReference genomeBioinformatics (Oxford, England)
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Small RNA-seq analysis of circulating miRNAs to identify phenotypic variability in Friedreich's ataxia patients.

2018

AbstractFriedreich’s ataxia (FRDA; OMIM 229300), an autosomal recessive neurodegenerative mitochondrial disease, is the most prevalent hereditary ataxia. In addition, FRDA patients have shown additional non-neurological features such as scoliosis, diabetes, and cardiac complications. Hypertrophic cardiomyopathy, which is found in two thirds of patients at the time of diagnosis, is the primary cause of death in these patients. Here, we used small RNA-seq of microRNAs (miRNAs) purified from plasma samples of FRDA patients and controls. Furthermore, we present the rationale, experimental methodology, and analytical procedures for dataset analysis. This dataset will facilitate the identificatio…

0301 basic medicineStatistics and ProbabilityEpigenomicsSmall RNAData DescriptorAtaxiaMitochondrial diseaseLibrary and Information SciencesBioinformaticsEducation03 medical and health sciences0302 clinical medicinemicroRNAMedicineHumansCirculating MicroRNAPathologicalCause of deathbusiness.industrySequence Analysis RNAHypertrophic cardiomyopathyNeuromuscular diseasemedicine.diseasePhenotypeComputer Science Applications030104 developmental biologyFriedreich AtaxiaNext-generation sequencingmedicine.symptomStatistics Probability and Uncertaintybusiness030217 neurology & neurosurgeryInformation SystemsScientific data
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Gene-based and semantic structure of the Gene Ontology as a complex network

2012

The last decade has seen the advent and consolidation of ontology based tools for the identification and biological interpretation of classes of genes, such as the Gene Ontology. The information accumulated time-by-time and included in the GO is encoded in the definition of terms and in the setting up of semantic relations amongst terms. This approach might be usefully complemented by a bottom-up approach based on the knowledge of relationships amongst genes. To this end, we investigate the Gene Ontology from a complex network perspective. We consider the semantic network of terms naturally associated with the semantic relationships provided by the Gene Ontology consortium and a gene-based …

0301 basic medicineStatistics and ProbabilityFOS: Computer and information sciencesPhysics - Physics and SocietyComplex systemComputer scienceMolecular Networks (q-bio.MN)Complex systemFOS: Physical sciencesNetworkCondensed Matter PhysicPhysics and Society (physics.soc-ph)computer.software_genreQuantitative Biology - Quantitative MethodsStatistics - ApplicationsGeneSemantic network03 medical and health sciencesSemantic similarityQuantitative Biology - Molecular NetworksApplications (stat.AP)GeneQuantitative Methods (q-bio.QM)Community detectionGene ontologybusiness.industryOntologyOntology-based data integrationComplex networkCondensed Matter PhysicsBipartite system030104 developmental biologyBipartite system; Community detection; Complex systems; Genes; Networks; Ontology; Condensed Matter Physics; Statistics and ProbabilityFOS: Biological sciencesOntologyWeighted networkData miningArtificial intelligenceComputingMethodologies_GENERALbusinesscomputerNatural language processing
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L1-Penalized Censored Gaussian Graphical Model

2018

Graphical lasso is one of the most used estimators for inferring genetic networks. Despite its diffusion, there are several fields in applied research where the limits of detection of modern measurement technologies make the use of this estimator theoretically unfounded, even when the assumption of a multivariate Gaussian distribution is satisfied. Typical examples are data generated by polymerase chain reactions and flow cytometer. The combination of censoring and high-dimensionality make inference of the underlying genetic networks from these data very challenging. In this article, we propose an $\ell_1$-penalized Gaussian graphical model for censored data and derive two EM-like algorithm…

0301 basic medicineStatistics and ProbabilityFOS: Computer and information sciencesgraphical lassoComputer scienceGaussianNormal DistributionInferenceMultivariate normal distribution01 natural sciencesMethodology (stat.ME)010104 statistics & probability03 medical and health sciencessymbols.namesakeGraphical LassoExpectation–maximization algorithmHumansComputer SimulationGene Regulatory NetworksGraphical model0101 mathematicsStatistics - MethodologyEstimation theoryReverse Transcriptase Polymerase Chain ReactionEstimatorexpectation-maximization algorithmGeneral MedicineCensoring (statistics)High-dimensional datahigh-dimensional dataGaussian graphical model030104 developmental biologysymbolscensored dataCensored dataExpectation-Maximization algorithmStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaAlgorithmAlgorithms
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MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems

2016

This is a pre-copyedited, author-produced version of an article accepted for publication in Bioinformatics following peer review. The version of recordJorge González-Domínguez, Yongchao Liu, Juan Touriño, Bertil Schmidt; MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems, Bioinformatics, Volume 32, Issue 24, 15 December 2016, Pages 3826–3828, https://doi.org/10.1093/bioinformatics/btw558is available online at: https://doi.org/10.1093/bioinformatics/btw558 [Abstracts] MSAProbs is a state-of-the-art protein multiple sequence alignment tool based on hidden Markov models. It can achieve high alignment accuracy at the expense of relatively long runtimes for large-sca…

0301 basic medicineStatistics and ProbabilitySource codeComputer sciencemedia_common.quotation_subject02 engineering and technologyParallel computingcomputer.software_genreBiochemistryExecution time03 medical and health sciences0202 electrical engineering electronic engineering information engineeringCluster (physics)Point (geometry)Amino Acid SequenceMolecular Biologymedia_commonSequenceMultiple sequence alignmentProtein multiple sequenceComputational BiologyProteinsMarkov ChainsComputer Science ApplicationsComputational Mathematics030104 developmental biologyComputational Theory and MathematicsDistributed memory systemsMSAProbs020201 artificial intelligence & image processingMPIData miningSequence AlignmentcomputerAlgorithmsSoftware
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Thiazole–amino acids: influence of thiazole ring on conformational properties of amino acid residues

2021

Abstract Post-translational modified thiazole–amino acid (Xaa–Tzl) residues have been found in macrocyclic peptides (e.g., thiopeptides and cyanobactins), which mostly inhibit protein synthesis in Gram + bacteria. Conformational study of the series of model compounds containing this structural motif with alanine, dehydroalanine, dehydrobutyrine and dehydrophenylalanine were performed using DFT method in various environments. The solid-state crystal structure conformations of thiazole–amino acid residues retrieved from the Cambridge Structural Database were also analysed. The studied structural units tend to adopt the unique semi-extended β2 conformation; which is stabilised mainly by N–H⋯N…

0301 basic medicineStereochemistryClinical BiochemistryNon-standard amino acidsMolecular ConformationRamachandran map010402 general chemistryRing (chemistry)01 natural sciencesBiochemistryDFT03 medical and health scienceschemistry.chemical_compoundDehydroalanineAmino AcidsStructural motifThiazoleOxazoleAlaninechemistry.chemical_classificationHydrogen bondNon-standard amino AIDSHydrogen bondOrganic ChemistryHydrogen Bonding0104 chemical sciencesAmino acidThiazoles030104 developmental biologyConformational analysischemistryOriginal ArticleThiazolePeptidesAmino Acids
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A Vastly Increased Chemical Variety of RNA Modifications Containing a Thioacetal Structure

2018

International audience; Recently discovered new chemical entities in RNA modifications have involved surprising functional groups that enlarge the chemical space of RNA. Using LC-MS, we found over 100 signals of RNA constituents that contained a ribose moiety in tRNAs from E. coli. Feeding experiments with variegated stable isotope labeled compounds identified 37 compounds that are new structures of RNA modifications. One structure was elucidated by deuterium exchange and high-resolution mass spectrometry. The structure of msms2 i6 A (2-methylthiomethylenethio-N6-isopentenyl-adenosine) was confirmed by methione-D3 feeding experiments and by synthesis of the nucleobase. The msms2 i6 A contai…

0301 basic medicineStereochemistryThioacetal010402 general chemistry01 natural sciencesCatalysisNucleobaseisotope labelling03 medical and health scienceschemistry.chemical_compoundAcetalsRNA modificationsTandem Mass Spectrometry[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]RiboseEscherichia coliMoietySulfhydryl Compoundschemistry.chemical_classificationChemistrythioacetalsRNA[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biologyGeneral Chemistryradical-SAM enzymesChemical space0104 chemical sciencesLC-MSRNA Bacterial030104 developmental biologyEnzymeNucleic Acid ConformationHydrogen–deuterium exchangeChromatography Liquid
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Towards Self-explanatory Ontology Visualization with Contextual Verbalization

2016

Ontologies are one of the core foundations of the Semantic Web. To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, the users first need to learn the visual notation before they can interpret it correctly. Controlled natural language representation would be readable right away and might be preferred in case of complex axioms, however, the structure of the ontology would remain less apparent. We propose to combine ontology visualizations with contextual ontology verbalizations of selected ontology (diagram) e…

0301 basic medicineStructure (mathematical logic)Computer sciencebusiness.industry05 social sciences050301 educationRepresentation (arts)Ontology (information science)computer.software_genreNotationlanguage.human_languageDomain (software engineering)03 medical and health sciences030104 developmental biologyControlled natural languagelanguageArtificial intelligencebusiness0503 educationcomputerSemantic WebNatural language processingAxiom
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Nanoparticle decoration impacts airborne fungal pathobiology

2018

Airborne fungal pathogens, predominantly Aspergillus fumigatus, can cause severe respiratory tract diseases. Here we show that in environments, fungal spores can already be decorated with nanoparticles. Using representative controlled nanoparticle models, we demonstrate that various nanoparticles, but not microparticles, rapidly and stably associate with spores, without specific functionalization. Nanoparticle-spore complex formation was enhanced by small nanoparticle size rather than by material, charge, or "stealth" modifications and was concentration-dependently reduced by the formation of environmental or physiological biomolecule coronas. Assembly of nanoparticle-spore surface hybrid s…

0301 basic medicineTHP-1 CellsComplex formationMedizinNanoparticleMicrobiologyAspergillus fumigatusMice03 medical and health sciencesmedicineAnimalsHumansLungMultidisciplinaryLungbiologyChemistryAspergillus fumigatusfungiSpores FungalBiological Sciencesbiology.organism_classificationSpore030104 developmental biologymedicine.anatomical_structureA549 CellsCell toxicityCytokinesNanoparticlesNanomedicineProtein CoronaPulmonary AspergillosisRespiratory tractProceedings of the National Academy of Sciences
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Telomeres and Telomerase During Human Papillomavirus-Induced Carcinogenesis

2018

Human papillomaviruses (HPVs) belong to a small spherical virus family and are transmitted through direct contact, most often through sexual behavior. More than 200 types of HPV are known, a dozen or so of which are classified as high-risk viruses (HR HPV) and may contribute to the development of cervical cancer. HPV is a small virus with a capsid composed of L1 and L2 proteins, which are crucial for entry to the cell. The infection begins at the basal cell layer and progresses to involve cells from higher layers of the cervical epithelium. E6 and E7 viral proteins are involved in the process of carcinogenesis. They interact with suppressors of oncogenesis, including p53 and Rb proteins. Th…

0301 basic medicineTelomeraseOncogene ProteinsCarcinogenesisCellReview ArticleBiologymedicine.disease_causeRetinoblastoma ProteinVirus03 medical and health sciences0302 clinical medicineGeneticsmedicineHumansTelomerase reverse transcriptasePapillomaviridaeTelomeraseTelomere ShorteningPharmacologyPapillomavirus InfectionsDNA replicationGeneral MedicineOncogene Proteins ViralVirus InternalizationCell Transformation ViralTelomere030104 developmental biologymedicine.anatomical_structure030220 oncology & carcinogenesisCancer researchDisease ProgressionMolecular MedicineRNAFemaleTumor Suppressor Protein p53CarcinogenesisMolecular Diagnosis & Therapy
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