Search results for "genomic data"

showing 10 items of 23 documents

Comparative Mitogenomics of Leeches (Annelida: Clitellata): Genome Conservation and Placobdella-Specific trnD Gene Duplication.

2015

Mitochondrial DNA sequences, often in combination with nuclear markers and morphological data, are frequently used to unravel the phylogenetic relationships, population dynamics and biogeographic histories of a plethora of organisms. The information provided by examining complete mitochondrial genomes also enables investigation of other evolutionary events such as gene rearrangements, gene duplication and gene loss. Despite efforts to generate information to represent most of the currently recognized groups, some taxa are underrepresented in mitochondrial genomic databases. One such group is leeches (Annelida: Hirudinea: Clitellata). Herein, we expand our knowledge concerning leech mitochon…

0106 biological sciences0301 basic medicineClitellatalcsh:MedicineBiochemistry01 natural sciencesGenomeDatabase and Informatics MethodsRNA TransferGene DuplicationGene OrderInvertebrate GenomicsGene duplicationAnnelidslcsh:SciencePhylogenyEnergy-Producing OrganellesData ManagementGeneticseducation.field_of_studyMultidisciplinaryPhylogenetic treePhylogenetic AnalysisGenomicsGenomic DatabasesMitochondriaNucleic acidsPhylogeneticsGenes MitochondrialPlacobdella parasiticaCellular Structures and OrganellesTransfer RNAResearch ArticleComputer and Information SciencesMitochondrial DNAPopulationBioenergeticsBiologyResearch and Analysis Methods010603 evolutionary biologyEvolution MolecularOpen Reading Frames03 medical and health sciencesPhylogeneticsLeechesGeneticsAnimalsEvolutionary Systematics14. Life underwaterCodonMolecular Biology TechniquesNon-coding RNAeducationMolecular BiologyTaxonomyMolecular Biology Assays and Analysis TechniquesEvolutionary Biologylcsh:ROrganismsBiology and Life SciencesComputational BiologyCell BiologyGenome Analysisbiology.organism_classificationInvertebratesBiological Databases030104 developmental biologyAnimal GenomicsGenome MitochondrialRNAlcsh:QPLoS ONE
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Glomeromycotina: what is a species and why should we care?

2018

International audience; A workshop at the recent International Conference on Mycorrhiza was focused on species recognition in Glomeromycotina and parts of their basic biology that define species. The workshop was motivated by the paradigm-shifting evidence derived from genomic data for sex and for the lack of heterokaryosis, and by published exchanges in Science that were based on different species concepts and have led to differing views of dispersal and endemism in these fungi. Although a lively discussion ensued, there was general agreement that species recognition in the group is in need of more attention, and that many basic assumptions about the biology of these important fungi includ…

0106 biological sciences0301 basic medicinePhysiologyGenomic data[SDV]Life Sciences [q-bio]educationarbuscular mycorrhizal fungiclonalityPlant ScienceArbuscular mycorrhizal fungi01 natural sciences03 medical and health sciencesSpecies Specificityspecies recognitionSimilarity (psychology)Clonal reproductionsex[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyEndemismGlomeromycotaPhylogenyheterokaryosisGlomeromycotina030104 developmental biologyGeographyEvolutionary biology[SDE]Environmental SciencesBiological dispersal010606 plant biology & botany
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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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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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Identification of factors involved in dimorphism and pathogenicity of Zymoseptoria tritici

2017

A forward genetics approach was applied in order to investigate the molecular basis of morphological transition in the wheat pathogenic fungus Zymoseptoria tritici. Z. tritici is a dimorphic plant pathogen displaying environmentally regulated morphogenetic transition between yeast-like and hyphal growth. Considering the infection mode of Z. tritici, the switching to hyphal growth is essential for pathogenicity allowing the fungus the host invasion through natural openings like stomata. We exploited a previously developed Agrobacterium tumefaciens-mediated transformation (ATMT) to generate a mutant library by insertional mutagenesis including more than 10,000 random mutants. To identify gene…

0301 basic medicineHyphal growthMutantlcsh:MedicinePlant SciencePathogenesisPathology and Laboratory MedicineDatabase and Informatics MethodsMedicine and Health Scienceslcsh:ScienceGeneticsMultidisciplinaryVirulenceOrganic CompoundsPlant Fungal PathogensFungal geneticsGenomicsGenomic DatabasesMutant StrainsChemistryPhysical SciencesResearch ArticleGene predictionGenes Fungal030106 microbiologyPlant PathogensMycologyBiologyResearch and Analysis MethodsFungal ProteinsInsertional mutagenesis03 medical and health sciencesAscomycotaGeneticsFungal GeneticsGene PredictionGeneOrganic Chemistrylcsh:ROrganismsFungiChemical CompoundsBiology and Life SciencesComputational BiologyPlant PathologyGenome AnalysisForward geneticsReverse geneticsBiological DatabasesPurinesMutationlcsh:QPLOS ONE
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Functional comparison of bacteria from the human gut and closely related non-gut bacteria reveals the importance of conjugation and a paucity of moti…

2016

International audience; The human GI tract is a complex and still poorly understood environment, inhabited by one of the densest microbial communities on earth. The gut microbiota is shaped by millennia of evolution to co-exist with the host in commensal or symbiotic relationships. Members of the gut microbiota perform specific molecular functions important in the human gut environment. This can be illustrated by the presence of a highly expanded repertoire of proteins involved in carbohydrate metabolism, in phase with the large diversity of polysaccharides originating from the diet or from the host itself that can be encountered in this environment. In order to identify other bacterial fun…

0301 basic medicine[SDV]Life Sciences [q-bio]lcsh:MedicineGut floraPathology and Laboratory Medicinemedicine.disease_causeBiochemistryDatabase and Informatics MethodsRNA Ribosomal 16SMedicine and Health SciencesDNA metabolismlcsh:SciencePhylogenyProtein MetabolismClostridium BotulinumMultidisciplinarybiologyChemotaxisGastrointestinal Microbiomedigestive oral and skin physiologyHuman microbiomeGenomicsBacterial Physiological PhenomenaGenomic DatabasesAdaptation PhysiologicalBacterial PathogensNucleic acidsMedical MicrobiologyConjugation GeneticPathogensBacteroides thetaiotaomicronResearch ArticleCell PhysiologyBacterial Physiological PhenomenaResearch and Analysis MethodsBiosynthesisMicrobiologydigestive systemMicrobiology03 medical and health sciencesBacterial ProteinsGeneticsmedicineHumansMicrobial PathogensEscherichia coliClostridiumBacteria030102 biochemistry & molecular biologyGut Bacterialcsh:ROrganismsBiology and Life SciencesComputational BiologyChemotaxisCell BiologyDNAGenome Analysisbiology.organism_classificationGastrointestinal MicrobiomeCell MetabolismBiological DatabasesMetabolism030104 developmental biologyEvolutionary biologylcsh:QGenome BacterialBacteria
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Big Data in metagenomics: Apache Spark vs MPI.

2020

The progress of next-generation sequencing has lead to the availability of massive data sets used by a wide range of applications in biology and medicine. This has sparked significant interest in using modern Big Data technologies to process this large amount of information in distributed memory clusters of commodity hardware. Several approaches based on solutions such as Apache Hadoop or Apache Spark, have been proposed. These solutions allow developers to focus on the problem while the need to deal with low level details, such as data distribution schemes or communication patterns among processing nodes, can be ignored. However, performance and scalability are also of high importance when…

Big DataComputer and Information SciencesScienceBig dataMessage Passing InterfaceParallel computingResearch and Analysis MethodsComputing MethodologiesComputing MethodologiesComputer ArchitectureComputer SoftwareDatabase and Informatics MethodsSoftwareSpark (mathematics)GeneticsMammalian GenomicsMultidisciplinarybusiness.industryApplied MathematicsSimulation and ModelingQRBiology and Life SciencesComputational BiologySoftware EngineeringGenomicsDNAGenomic DatabasesGenome AnalysisComputer HardwareSupercomputerBiological DatabasesAnimal GenomicsPhysical SciencesScalabilityEngineering and TechnologyMetagenomeMedicineDistributed memoryMetagenomicsbusinessMathematicsAlgorithmsGenome BacterialSoftwareResearch ArticlePLoS ONE
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A summary of genomic databases: overview and discussion

2009

In the last few years both the amount of electronically stored biological data and the number of biological data repositories grew up significantly (today, more than eight hundred can be counted thereof). In spite of the enormous amount of available resources, a user may be disoriented when he/she searches for specific data. Thus, the accurate analysis of biological data and repositories turn out to be useful to obtain a systematic view of biological database structures, tools and contents and, eventually, to facilitate the access and recovery of such data. In this chapter, we propose an analysis of genomic databases, which are databases of fundamental importance for the research in bioinfo…

Biological dataInformation retrievalComputer scienceBioinformatics Biological Databases AnalysisDatabase schemaBiological databaseGenomic databases
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Abstract A22: PanDrugsDB: Identifying druggable genetic dependencies for personalized cancer therapy

2015

Abstract The paradigm of personalized medicine is the identification of the appropriate drug for the right patient, using molecular profiles. In Oncology, it is well established that the anticancer drugs are effective in only a small subset of patients. Moreover, many of the new targeted therapies inhibit specific proteins, and they are only effective in tumors that are genetically altered. Consequently, the success of personalized treatment depends on each individual molecular profile, which a priori can be considered as very heterogeneous. Here, we present a new computational approach (PanDrugsDB) based on the analysis and integration of genomic data (mutations, copy number variations or …

Cancer Researchbusiness.industryGenomic dataDruggabilityCancer therapyCancermedicine.diseaseBioinformaticsOncologyTumor progressionmedicineIdentification (biology)Copy-number variationPersonalized medicinebusinessMolecular Cancer Therapeutics
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Towards next generation diagnostics for tuberculosis: identification of novel molecular targets by large-scale comparative genomics

2019

AbstractTuberculosis remains one of the main causes of death worldwide. The long and cumbersome process of culturingMycobacterium tuberculosiscomplex (MTBC) bacteria has encouraged the development of specific molecular tools for detecting the pathogen. Most of these tools aim to become novel tuberculosis diagnostics, and big efforts and resources are invested in their development, looking for the endorsement of the main public health agencies. Surprisingly, no study had been conducted where the vast amount of genomic data available is used to identify the best MTBC diagnostic markers. In this work, we use large-scale comparative genomics to provide a catalog of 30 characterized loci that ar…

Comparative genomics0303 health sciencesTuberculosis030306 microbiologyGenomic dataDiagnostic markerComputational biologyBiologybiology.organism_classificationmedicine.disease3. Good health03 medical and health sciencesMycobacterium tuberculosis complexTuberculosis diagnosticsMolecular targetsmedicineIdentification (biology)030304 developmental biology
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