Search results for "Genome"

showing 10 items of 1913 documents

EFMviz

2020

Elementary Flux Modes (EFMs) are a tool for constraint-based modeling and metabolic network analysis. However, systematic and automated visualization of EFMs, capable of integrating various data types is still a challenge. In this study, we developed an extension for the widely adopted COBRA Toolbox, EFMviz, for analysis and graphical visualization of EFMs as networks of reactions, metabolites and genes. The analysis workflow offers a platform for EFM visualization to improve EFM interpretability by connecting COBRA toolbox with the network analysis and visualization software Cytoscape. The biological applicability of EFMviz is demonstrated in two use cases on medium (Escherichia coli, iAF1…

0301 basic medicineComputer scienceEndocrinology Diabetes and Metabolismgenome-scale metabolic modelslcsh:QR1-502computer.software_genreBiochemistryData typelcsh:MicrobiologySBML03 medical and health sciences0302 clinical medicineData visualizationGraph drawingProtocolACETATEdata visualizationCELLSBMLCYTOSCAPEMolecular BiologyGENE-EXPRESSIONSoftware visualizationbusiness.industryPATHWAY ANALYSISnetwork visualizationelementary flux modesToolboxVisualization030104 developmental biologyWorkflowDEFINITIONESCHERICHIA-COLIGROWTHData miningbusinesscomputerSET030217 neurology & neurosurgeryMetabolites
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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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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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Genetic association study of childhood aggression across raters, instruments, and age

2021

AbstractChildhood aggressive behavior (AGG) has a substantial heritability of around 50%. Here we present a genome-wide association meta-analysis (GWAMA) of childhood AGG, in which all phenotype measures across childhood ages from multiple assessors were included. We analyzed phenotype assessments for a total of 328 935 observations from 87 485 children aged between 1.5 and 18 years, while accounting for sample overlap. We also meta-analyzed within subsets of the data, i.e., within rater, instrument and age. SNP-heritability for the overall meta-analysis (AGGoverall) was 3.31% (SE = 0.0038). We found no genome-wide significant SNPs for AGGoverall. The gene-based analysis returned three sign…

0301 basic medicineDISORDER/45/43Genome-wide association study3124 Neurology and psychiatry0302 clinical medicineChildPsychiatry0303 health sciences:trastornos mentales [PSIQUIATRÍA Y PSICOLOGÍA]HERITABILITYMental DisordersCognitionGenomicsExplained variationJustice and Strong InstitutionsAggressionPsychiatry and Mental healthMeta-analysisADOLESCENCEChild Preschool:conducta y mecanismos de la conducta::conducta::síntomas conductuales::agresión [PSIQUIATRÍA Y PSICOLOGÍA]/631/208/212/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleBiological psychiatrymedicine.symptomLife Sciences & Biomedicine:Investigative Techniques::Genetic Techniques::Genetic Association Studies [ANALYTICAL DIAGNOSTIC AND THERAPEUTIC TECHNIQUES AND EQUIPMENT]BEHAVIORRC321-571Childhood aggressionClinical psychologySDG 16 - PeaceAdolescent:Mental Disorders [PSYCHIATRY AND PSYCHOLOGY]Neurosciences. Biological psychiatry. NeuropsychiatrySingle-nucleotide polymorphismBiology3121 Internal medicineMalalties mentals - Aspectes genèticsGenetic correlationArticle1117 Public Health and Health ServicesCellular and Molecular Neuroscience03 medical and health sciences/631/477/2811SDG 3 - Good Health and Well-beingHuman behaviourmedicineSNPHumansGENOME-WIDE ASSOCIATIONBiological PsychiatryGenetic Association Studies030304 developmental biologyGenetic associationRetrospective Studies:técnicas de investigación::técnicas genéticas::estudios de asociación genética [TÉCNICAS Y EQUIPOS ANALÍTICOS DIAGNÓSTICOS Y TERAPÉUTICOS]Science & TechnologyAggressionSDG 16 - Peace Justice and Strong InstitutionsInfant:Behavior and Behavior Mechanisms::Behavior::Behavioral Symptoms::Aggression [PSYCHIATRY AND PSYCHOLOGY]1103 Clinical SciencesAgressivitat en els infantsHeritability/dk/atira/pure/sustainabledevelopmentgoals/peace_justice_and_strong_institutions030104 developmental biology1701 PsychologyORIGINSResearch Programm of Donders Centre for Neuroscience3111 BiomedicineTRAJECTORIES030217 neurology & neurosurgeryDemographyGenome-Wide Association Study
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A Comparison of Techniques to Evaluate the Effectiveness of Genome Editing

2018

Genome editing using engineered nucleases (meganucleases, zinc finger nucleases, transcription activator-like effector nucleases) has created many recent breakthroughs. Prescreening for efficiency and specificity is a critical step prior to using any newly designed genome editing tool for experimental purposes. The current standard screening methods of evaluation are based on DNA sequencing or use mismatch-sensitive endonucleases. They can be time-consuming and costly or lack reproducibility. Here, we review and critically compare standard techniques with those more recently developed in terms of reliability, time, cost, and ease of use.

0301 basic medicineDNA End-Joining Repair[SDV.BIO]Life Sciences [q-bio]/BiotechnologyBioengineeringComputational biologyBiologyDNA sequencing03 medical and health sciencesGenome editingScreening methodAnimalsHumansDNA Breaks Double-StrandedHomologous RecombinationComputingMilieux_MISCELLANEOUSGeneticsGene EditingHigh-Throughput Nucleotide SequencingPlantsEndonucleasesZinc finger nuclease030104 developmental biologyCRISPR-Cas SystemsGenetic EngineeringBiotechnologyRNA Guide Kinetoplastida
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DNA Injury and Repair Systems

2018

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0301 basic medicineDNA ReplicationDNA RepairMEDLINEDiseaseComputational biologyGenomeCatalysisInorganic Chemistrylcsh:Chemistry03 medical and health sciencesText miningMedicineAnimalsHumansDiseasePhysical and Theoretical ChemistryPhosphorylationMolecular BiologyDNA injurylcsh:QH301-705.5Spectroscopybusiness.industryGenome HumanOrganic ChemistryGeneral MedicineHuman geneticsComputer Science Applications030104 developmental biologyn/aEditoriallcsh:Biology (General)lcsh:QD1-999businessIntroductory Journal ArticleDNA DamageInternational Journal of Molecular Sciences
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Photobacterium malacitanum sp. nov., and Photobacterium andalusiense sp. nov., two new bacteria isolated from diseased farmed fish in Southern Spain.

2018

Three strains, H01100409BT, H01100413B, and H27100402HT, were isolated from several internal organs of diseased redbanded seabream (Pagrus auriga) reared in Andalusia (Southern Spain). All strains were studied by phenotypic, including chemotaxonomy, and genomic characteristics. Phylogenetic analysis based on concatenated sequences of six housekeeping genes (gyrB, ftsZ, topA, mreB, gapA, and 16S rRNA) supported the inclusion of the strains within the clade Phosphoreum of the genus Photobacterium, and two of the strains (H27100402HT and H01100409BT) formed a tight group separated from the closest species P. aquimaris. Genomic analyses, including average nucleotide identity (ANIb and ANIm) and…

0301 basic medicineDNA Bacterial030106 microbiologyFisheriesZoologyApplied Microbiology and BiotechnologyMicrobiology03 medical and health sciencesFish DiseasesSpecies SpecificityPhylogeneticsRNA Ribosomal 16SAnimalsCladeEcology Evolution Behavior and SystematicsPhylogenyBase CompositionbiologyPhylogenetic treePhotobacteriumStrain (biology)Vitamin K 2Sequence Analysis DNA16S ribosomal RNAPhotobacteriumbiology.organism_classificationHousekeeping gene030104 developmental biologyPhenotypeChemotaxonomyGenes BacterialSpainGenome BacterialSystematic and applied microbiology
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Photobacterium toruni sp. nov., a bacterium isolated from diseased farmed fish.

2017

Three bacterial strains were isolated from liver and spleen of diseased farmed redbanded seabream (Pagrus auriga) in south-west Spain. Their partial 16S rRNA gene sequences clustered within those of the genus Photobacterium , showing high similarity (98.6–99.3 %) to the type strains of Photobacterium iliopiscarium , P. piscicola , P. kishitanii , P. aquimaris and P. phosphoreum . Multilocus sequence analysis using six housekeeping genes (gapA, topA, mreB, ftsZ, gyrB and 16S rRNA) confirmed the new strains as forming an independent branch with a bootstrap value of 100, likely to represent a novel species. To confirm this, we used whole genome sequencing and genomic analysis (ANIb, ANIm and i…

0301 basic medicineDNA BacterialBacilliSequence analysisMicrobiologyMicrobiology03 medical and health sciencesVibrionaceaeRNA Ribosomal 16SAnimalsGeneEcology Evolution Behavior and SystematicsPhospholipidsPhylogenyWhole genome sequencingGeneticsBase CompositionbiologyPhotobacteriumFatty AcidsNucleic Acid HybridizationVitamin K 2General MedicineSequence Analysis DNA16S ribosomal RNAbiology.organism_classificationPhotobacteriumSea BreamHousekeeping geneBacterial Typing Techniques030104 developmental biologyGenes BacterialSpainMultilocus Sequence TypingInternational journal of systematic and evolutionary microbiology
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Reactome pathway analysis: a high-performance in-memory approach

2016

Reactome aims to provide bioinformatics tools for visualisation, interpretation and analysis of pathway knowledge to support basic research, genome analysis, modelling, systems biology and education. Pathway analysis methods have a broad range of applications in physiological and biomedical research; one of the main problems, from the analysis methods performance point of view, is the constantly increasing size of the data samples. Here, we present a new high-performance in-memory implementation of the well-established over-representation analysis method. To achieve the target, the over-representation analysis method is divided in four different steps and, for each of them, specific data st…

0301 basic medicineData structuresDatabases FactualPathway analysisComputer scienceInterface (Java)Systems biologycomputer.software_genreGenomeBiochemistry03 medical and health sciences0302 clinical medicineStructural BiologyNucleic AcidsHumansMolecular BiologyApplied MathematicsComputational BiologyProteinsPathway analysisComputer Science ApplicationsTree (data structure)030104 developmental biology030220 oncology & carcinogenesisGraph (abstract data type)Data miningOver-representation analysiscomputerAlgorithmsSoftwareBMC Bioinformatics
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Reactome graph database: Efficient access to complex pathway data

2018

Reactome is a free, open-source, open-data, curated and peer-reviewed knowledgebase of biomolecular pathways. One of its main priorities is to provide easy and efficient access to its high quality curated data. At present, biological pathway databases typically store their contents in relational databases. This limits access efficiency because there are performance issues associated with queries traversing highly interconnected data. The same data in a graph database can be queried more efficiently. Here we present the rationale behind the adoption of a graph database (Neo4j) as well as the new ContentService (REST API) that provides access to these data. The Neo4j graph database and its qu…

0301 basic medicineDatabases FactualComputer scienceData managementKnowledge BasesSocial SciencesInformation Storage and RetrievalNoSQLcomputer.software_genreComputer ApplicationsDatabase and Informatics MethodsUser-Computer Interface0302 clinical medicineKnowledge extractionPsychologyDatabase Searchinglcsh:QH301-705.5Data ManagementLanguageBiological dataEcologySystems BiologyGenomicsGenomic DatabasesComputational Theory and MathematicsModeling and SimulationWeb-Based ApplicationsGraph (abstract data type)Information TechnologyResearch ArticleComputer and Information SciencesRelational databaseQuery languageResearch and Analysis MethodsEcosystems03 medical and health sciencesCellular and Molecular NeuroscienceDatabasesGeneticsComputer GraphicsHumansMolecular BiologyEcology Evolution Behavior and SystematicsInternetInformation retrievalGraph databasebusiness.industryEcology and Environmental SciencesCognitive PsychologyBiology and Life SciencesComputational BiologyGenome AnalysisRelational Databases030104 developmental biologyBiological Databaseslcsh:Biology (General)Cognitive Sciencebusinesscomputer030217 neurology & neurosurgerySoftwareNeurosciencePLoS Computational Biology
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