Search results for "genomics"

showing 10 items of 1255 documents

Identification of Replicator Mutator models

2006

The complexity of biology literally calls for quantitative tools in order to support and validate biologists intuition and traditional qualitative descriptions. In this paper, the Replicator-Mutator models for Evolutionary Dynamics are validated/invalidated in a worst-case deterministic setting. These models analyze the DNA and RNA evolution or describe the population dynamics of viruses and bacteria. We identify the Fitness and the Replication Probability parameters of a genetic sequences, subject to a set of stringent constraints to have physical meaning and to guarantee positiveness. The conditional central estimate is determined in order to validate/invalidate the model. The effectivene…

education.field_of_studyTheoretical computer sciencePopulationGenomicsPositive systemsBioinformaticsSet (abstract data type)Identification (information)virus populationsModels of DNA evolutionReplication (statistics)VirusesRNA VirusesEvolutionary dynamicseducationBiomedical systems; Evolutionary dynamics; Nonlinear systems; Positive systems; Uncertain dynamical systems;
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Chromatin structure influences rate and spectrum of spontaneous mutations in Neurospora crassa

2023

While mutation rates have been extensively studied, variation in mutation rates throughout the genome is poorly understood. To understand patterns of genetic variation, it is important to understand how mutation rates vary. Chromatin modifications may be an important factor in determining variation in mutation rates in eukaryotic genomes. To study variation in mutation rates, we performed a mutation accumulation experiment in the filamentous fungus Neurospora crassa, and sequenced the genomes of the 40 MA lines that had been propagated asexually for approximately 1015 [1003, 1026] mitoses. We detected 1322 mutations in total, and observed that the mutation rate was higher in regions of low …

epigeneticsperinnöllisyystiedeH3K9 trimethylationepigenetiikkamutation accumulationperimägenomicsH3K27 trimethylationfungigenomiikkamutaatiotsienet
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Transcriptional and Epigenetic Response to Sedentary Behavior and Physical Activity in Children and Adolescents: A Systematic Review.

2022

Background: The links of sedentary behavior and physical activity with health outcomes in children and adolescents is well known. However, the molecular mechanisms involved are poorly understood.We aimed to synthesize the current knowledge of the association of sedentary behavior and physical activity (acute and chronic effects) with gene expression and epigenetic modifications in children and adolescents. Methods: PubMed, Web of Science, and Scopus databases were systematically searched until April 2022. A total of 15 articles were eligible for this review. The risk of bias assessment was performed using the Joanna Briggs Institute Critical Appraisal Tool for Systematic Reviews and/or a mo…

exercisePediatrics Perinatology and Child Healthepigenomicsphysical fitnessmethylationRNA-seqomics
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Molecular Determinants of the Response of Tumor Cells to Boswellic Acids

2011

Frankincense (Boswellia serrata, B. carterii) is used as traditional remedy to treat inflammatory diseases. The molecular effects of the active ingredients, the boswellic acids, on the immune system have previously been studied and verified in several clinical studies. Boswellic acids also inhibit cancer cell growth in vitro and in vivo. The molecular basis of the cytotoxicity of boswellic acids is, however, not fully understood as yet. By mRNA-based microarray, COMPARE, and hierarchical cluster analyses, we identified a panel of genes from diverse functional groups, which were significantly associated with sensitivity or resistance of a- or b-boswellic acids, such as transcription factors,…

frankincensenatural productsProtein metabolismlcsh:Medicinelcsh:RS1-441Pharmaceutical SciencePharmacologyArticlesphingomyelinlcsh:Pharmacy and materia medicachemistry.chemical_compoundImmune systemDrug DiscoveryMedicineBoswelliaceramideCytotoxicityBoswelliaTranscription factorpharmacogenomicsbiologybusiness.industrylcsh:Rapoptosis; <em>Boswellia</em>; ceramide; frankincense; natural products; olibanum; pharmacogenomics; sphingomyelinapoptosisbiology.organism_classificationIn vitroolibanumchemistryCancer cellMolecular MedicineBoswellia serratabusinessPharmaceuticals
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Methodological advances in the functional profiling of genomic studies

2013

In this thesis we present bioinformatic tools and algorithms for the analysis of genomic data such as those generated by microarray devices or next generation sequencing techniques. Particularly, we develop new approaches to gene set analysis. The described procedures should be useful in practice to tackle complex biological experiments, but hopefully will also be methodologically relevant, as they introduce new ways of conceptualizing genomic functional profiling. Our very flexible approach allows for the inclusion of not just one kind of genomic measurement but many. It makes possible, for instance, to analyze expression measurement and genomic variation data at a time. This multidimensio…

functional profiling:CIENCIAS DE LA VIDA::Genética [UNESCO]:MATEMÁTICAS::Estadística::Análisis de datos [UNESCO]logistic regressionUNESCO::MATEMÁTICAS::Estadística::Análisis multivariantebiostatisticsbioinformaticsUNESCO::MATEMÁTICAS::Estadística::Análisis de datos:CIENCIAS DE LA VIDA::Biometría [UNESCO]ComputingMethodologies_PATTERNRECOGNITIONUNESCO::CIENCIAS DE LA VIDA::Genéticastatistics:MATEMÁTICAS::Estadística::Análisis multivariante [UNESCO]gene set analysisgenomicsUNESCO::CIENCIAS DE LA VIDA::Biometría
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Evolutionary systems biology of the Mycobacterium tuberculosis complex

2019

Tesis doctoral, 214 páginas

genomica:CIENCIAS DE LA VIDA::Bioquímica [UNESCO]tuberculosisbioinformáticaevoluciónUNESCO::CIENCIAS DE LA VIDA::Biología molecularGenómicaevolutiongenomicsUNESCO::CIENCIAS DE LA VIDA::Bioquímicabioinformatics:CIENCIAS DE LA VIDA::Biología molecular [UNESCO]
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Comparative genomics to unravel adaptive mechanisms in Saccharomyces

2021

Saccharomyces genus is a fascinating model for evolutionary biology due to its high genetic and phenotypic diversity. The improvement in the sampling efforts during the last decade has resulted in the isolation of Saccharomyces species from a wide range of sources worldwide. S. cerevisiae is probably the most well known eukaryotic system and the dominant organism in most industrial fermentations. Due to the new challenges of the winemaking industry (e.g., global warming and changing customer demands), alternative Saccharomyces species have attracted researchers’ attention during the last decade as a poorly exploited resource of biodiversity. S. kudriavzevii and S. uvarum are two promising c…

genomicsadaptationyeast:CIENCIAS DE LA VIDA::Biología molecular ::Biología molecular de microorganismos [UNESCO]UNESCO::CIENCIAS DE LA VIDA::Biología molecular ::Biología molecular de microorganismos
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EnvDB, a database for describing the environmental distribution of prokaryotic taxa.

2009

Summary EnvDB is a database that classifies the environmental samples and their associated 16S rDNA sequences currently stored in GenBank. The samples were cat- egorized in a three-level, hierarchical classification of media: the five upper levels (terrestrial, aquatic, thermal, host-associated and other) are further decomposed in 20 intermediate (such as marine, marine sediments, freshwater, soil, gut, etc.) and 47 lower levels (for instance, soil is further decomposed in forest, agricultural, wetlands, grasslands, tropical, arid, etc.). Each sample was also characterized with nine environmental features: polluted, diseased (for clinical samples), acidic, alkaline, hot environment, cold en…

geographygeography.geographical_feature_categoryDatabasebusiness.industryDistribution (economics)Sample (statistics)WetlandBiologycomputer.software_genreAgricultural and Biological Sciences (miscellaneous)TaxonMetagenomicsAbundance (ecology)GenBankTaxonomic rankbusinesscomputerEcology Evolution Behavior and SystematicsEnvironmental microbiology reports
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Combining population genomics with demographic analyses highlights habitat patchiness and larval dispersal as determinants of connectivity in coastal…

2022

Gene flow shapes spatial genetic structure and the potential for local adaptation. Among marine animals with nonmigratory adults, the presence or absence of a pelagic larval stage is thought to be a key determinant in shaping gene flow and the genetic structure of populations. In addition, the spatial distribution of suitable habitats is expected to influence the distribution of biological populations and their connectivity patterns. We used whole genome sequencing to study demographic history and reduced representation (double-digest restriction associated DNA) sequencing data to analyse spatial genetic structure in broadnosed pipefish (Syngnathus typhle). Its main habitat is eelgrass beds…

habitat patchinesslarval driftFishesisolation by distancecoastalVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Marinbiologi: 497PerciformesLarvamarine fishGeneticsgenomicsAnimalsMetagenomicsgene flowEcosystemEcology Evolution Behavior and SystematicsVDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920comparative studyDemographyVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480
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easyPAC: A Tool for Fast Prediction, Testing and Reference Mapping of Degenerate PCR Primers from Alignments or Consensus Sequences

2012

Video abstract A video abstract by the authors of this paper is available. video-abstract8870.mov

homologous genesparalogous genesComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONlcsh:EvolutionGenomicsComputational biologyBiologyBioinformaticslaw.inventionlawDegenerate primerGeneticsConsensus sequenceSoftware Reviewlcsh:QH359-425De novo sequencingPCR primer predictionEcology Evolution Behavior and SystematicsPolymerase chain reactionSequence (medicine)Degenerate energy levelsalignmentComputer Science Applicationsconsensus sequencedegenerate primersPrimer (molecular biology)Evolutionary Bioinformatics
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