Search results for "GENOMICS"

showing 10 items of 1255 documents

Novel virocell metabolic potential revealed in agricultural soils by virus-enriched soil metagenome analysis

2021

International audience; Viruses are now recognized as important players in microbial dynamics and biogeochemical cycles in the oceans. Yet, compared with aquatic ecosystems, virus discovery in terrestrial ecosystems has been challenging partly due to the inherent complexity of soils. To expand our understanding of soil viruses and their putative contributions to soil microbial processes, we analysed metagenomes of community-level virus-enriched suspensions by tangential flow filtration obtained from two French agricultural soils. We found viral sequences representing a total of 239 viral operational taxonomic units that corresponded to 29.5% of the mapping reads in the metagenomic datasets.…

Biogeochemical cycleviruses[SDV]Life Sciences [q-bio]BiologyGENOMASCarbon cycle03 medical and health sciencesSoilEcology Evolution Behavior and SystematicsEcosystem030304 developmental biology2. Zero hunger0303 health sciencesRhizosphere030306 microbiologyEcologyAquatic ecosystem15. Life on landAgricultural and Biological Sciences (miscellaneous)MetagenomicsSoil waterHorizontal gene transferRhizosphereVirusesMetagenomeTerrestrial ecosystem
researchProduct

Fast comparison of DNA sequences by oligonucleotide profiling

2008

Provisional abstact and full-text PDF files correspond to the article as it appeared upon acceptance. Fully formatted PDF and final abstract will be made available soon.

BioinformaticsFast speedADNOligonucleotide Profilinglcsh:MedicineGenomicsComputational biologyBiologyBioinformaticsGenomeGeneral Biochemistry Genetics and Molecular BiologyDNA sequencingConserved sequencechemistry.chemical_compoundTechnical NoteProfiling (information science)lcsh:Science (General)lcsh:QH301-705.5Medicine(all)OligonucleotideBiochemistry Genetics and Molecular Biology(all)lcsh:RGenomicsGeneral MedicineGenòmicaUVWORDchemistrylcsh:Biology (General)DNA sequence comparisonComputingMethodologies_DOCUMENTANDTEXTPROCESSINGDNAlcsh:Q1-390BMC Research Notes
researchProduct

TarSynFlow, a workflow for bacterial genome comparisons that revealed genes putatively involved in the probiotic character of Shewanella putrefaciens…

2019

Probiotic microorganisms are of great interest in clinical, livestock and aquaculture. Knowledge of the genomic basis of probiotic characteristics can be a useful tool to understand why some strains can be pathogenic while others are probiotic in the same species. An automatized workflow called TarSynFlow (Targeted Synteny Workflow) has been then developed to compare finished or draft bacterial genomes based on a set of proteins. When used to analyze the finished genome of the probiotic strain Pdp11 ofShewanella putrefaciensand genome drafts from seven known non-probiotic strains of the same species obtained in this work, 15 genes were found exclusive of Pdp11. Their presence was confirmed …

Bioinformaticslcsh:MedicineMicrobiologiaGenomicsBacterial genome sizeShewanella putrefaciensBiologyShewanella putrefaciensGenomeMicrobiologySyntenyGeneral Biochemistry Genetics and Molecular BiologyCultured fishWorkflow03 medical and health sciencesPlasmidGene030304 developmental biologySyntenyGenetics0303 health sciences030306 microbiologyGeneral NeuroscienceProbioticslcsh:RGeneral MedicineGenomicsbiology.organism_classificationGenòmicaAquaculture Fisheries and Fish ScienceMobile genetic elementsGeneral Agricultural and Biological SciencesPeerJ
researchProduct

Detection of condition-specific marker genes from RNA-seq data with MGFR

2019

The identification of condition-specific genes is key to advancing our understanding of cell fate decisions and disease development. Differential gene expression analysis (DGEA) has been the standard tool for this task. However, the amount of samples that modern transcriptomic technologies allow us to study, makes DGEA a daunting task. On the other hand, experiments with low numbers of replicates lack the statistical power to detect differentially expressed genes. We have previously developed MGFM, a tool for marker gene detection from microarrays, that is particularly useful in the latter case. Here, we have adapted the algorithm behind MGFM to detect markers in RNA-seq data. MGFR groups s…

Bioinformaticslcsh:MedicineRNA-SeqComputational biologyMarker genesCell fate determinationBiologyMarker geneGeneral Biochemistry Genetics and Molecular BiologyTranscriptomeBioconductor03 medical and health sciences0302 clinical medicineGene expressionSingle cellRNA-SeqTranscriptomicsGene030304 developmental biology0303 health sciencesGeneral Neurosciencelcsh:RCell-type specificityGenomicsGeneral MedicineTissue specificity030220 oncology & carcinogenesisGene expressionR-packageDNA microarrayGeneral Agricultural and Biological SciencesPeerJ
researchProduct

Solving gap metabolites and blocked reactions in genome-scale models: application to the metabolic network of Blattabacterium cuenoti

2013

Abstract Background Metabolic reconstruction is the computational-based process that aims to elucidate the network of metabolites interconnected through reactions catalyzed by activities assigned to one or more genes. Reconstructed models may contain inconsistencies that appear as gap metabolites and blocked reactions. Although automatic methods for solving this problem have been previously developed, there are many situations where manual curation is still needed. Results We introduce a general definition of gap metabolite that allows its detection in a straightforward manner. Moreover, a method for the detection of Unconnected Modules, defined as isolated sets of blocked reactions connect…

BiologiaComputer scienceSystems biologyGenome scaleMetabolic networkGenomicsComputational biologyMicrobiologíaBacterisManual curationModels BiologicalStructural BiologyModelling and SimulationSymbiosisMolecular Biologybusiness.industryBacteroidetesApplied MathematicsBlattabacterium cuenotiGenomicsComputer Science ApplicationsMetabolic ModelModeling and SimulationBiomatemáticasArtificial intelligenceInsectosbusinessMetabolic Networks and PathwaysResearch Article
researchProduct

Inference of the Life Cycle of Environmental Phages from Genomic Signature Distances to Their Hosts

2023

The environmental impact of uncultured phages is shaped by their preferred life cycle (lytic or lysogenic). However, our ability to predict it is very limited. We aimed to discriminate between lytic and lysogenic phages by comparing the similarity of their genomic signatures to those of their hosts, reflecting their co-evolution. We tested two approaches: (1) similarities of tetramer relative frequencies, (2) alignment-free comparisons based on exact k = 14 oligonucleotide matches. First, we explored 5126 reference bacterial host strains and 284 associated phages and found an approximate threshold for distinguishing lysogenic and lytic phages using both oligonucleotide-based methods. The an…

BiologiaInfectious DiseasesVirologygenomic signatures; bacteriophages; lytic phages; lysogenic phages; single-cell genomicsViruses; Volume 15; Issue 5; Pages: 1196
researchProduct

Protein Interaction Networks and Disease: Highlights of the 3rd Challenges in Computational Biology Meeting

2017

Cellular functions are managed by a complex network of protein interactions, the malfunction of which may derive in disease phenotypes. In spite of the incompleteness and noise present in our current protein interaction maps, computational biologists are making strenuous efforts to extract knowledge from these intricate networks and, through their integration with other types of biological data, expedite the development of novel and more effective treatments against human disorders. The 3rd Challenges in Computational Biology meeting revolved around the Protein Interaction Networks and Disease subject, bringing expert network biologists to the city of Mainz, Germany to debate the current st…

Biological dataComputingMethodologies_PATTERNRECOGNITIONWorkflowComputer sciencebusiness.industryProtein Interaction NetworksBig dataCellular functionsGenomicsComputational biologyDiseaseComplex networkbusinessGenomics and Computational Biology
researchProduct

Reproducing kernel hilbert spaces regression methods for genomic assisted prediction of quantitative traits.

2008

Abstract Reproducing kernel Hilbert spaces regression procedures for prediction of total genetic value for quantitative traits, which make use of phenotypic and genomic data simultaneously, are discussed from a theoretical perspective. It is argued that a nonparametric treatment may be needed for capturing the multiple and complex interactions potentially arising in whole-genome models, i.e., those based on thousands of single-nucleotide polymorphism (SNP) markers. After a review of reproducing kernel Hilbert spaces regression, it is shown that the statistical specification admits a standard mixed-effects linear model representation, with smoothing parameters treated as variance components.…

BiologyInvestigationsBayesian inferenceMachine learningcomputer.software_genreKernel principal component analysisChromosomessymbols.namesakeQuantitative Trait HeritableGeneticsAnimalsGeneticsGenomeModels GeneticRepresenter theorembusiness.industryHilbert spaceLinear modelBayes TheoremQuantitative Biology::GenomicsKernel embedding of distributionsKernel (statistics)symbolsPrincipal component regressionRegression AnalysisArtificial intelligencebusinesscomputerChickensGenetics
researchProduct

A motif-independent metric for DNA sequence specificity

2011

Abstract Background Genome-wide mapping of protein-DNA interactions has been widely used to investigate biological functions of the genome. An important question is to what extent such interactions are regulated at the DNA sequence level. However, current investigation is hampered by the lack of computational methods for systematic evaluating sequence specificity. Results We present a simple, unbiased quantitative measure for DNA sequence specificity called the Motif Independent Measure (MIM). By analyzing both simulated and real experimental data, we found that the MIM measure can be used to detect sequence specificity independent of presence of transcription factor (TF) binding motifs. We…

Biologylcsh:Computer applications to medicine. Medical informaticsDNA-binding proteinGenomeBiochemistryDNA sequencingCell Line03 medical and health scienceschemistry.chemical_compound0302 clinical medicineStructural BiologyHumansTranscription factorMolecular Biologylcsh:QH301-705.5Sequence Specificity Epigenomics Bioinformatics030304 developmental biologyEpigenomicsGenetics0303 health sciencesBase SequenceSettore INF/01 - InformaticaGenome HumanApplied MathematicsMethodology ArticleDNAComputer Science ApplicationsDNA-Binding Proteinschemistrylcsh:Biology (General)lcsh:R858-859.7Human genomeDNA microarray030217 neurology & neurosurgeryDNAAlgorithmsSoftwareGenome-Wide Association StudyProtein BindingTranscription FactorsBMC Bioinformatics
researchProduct

Shell proteome of rhynchonelliform brachiopods.

2015

7 pages; International audience; Brachiopods are a phylum of marine invertebrates that have an external bivalved shell to protect their living tissues. With few exceptions, this biomineralized structure is composed of calcite, mixed together with a minor organic fraction, comprising secreted proteins that become occluded in the shell structure, once formed. This organic matrix is thought to display several functions, in particular, to control mineral deposition and to regulate crystallite shapes. Thus, identifying the primary structure of matrix proteins is a prerequisite for generating bioinspired materials with tailored properties. In this study, we employed a proteomic approach to identi…

BiomineralizationProteomicsProteomeShell (structure)BrachiopodsBiologyMatrix (biology)ProteomicsCalcium CarbonatePaleontologychemistry.chemical_compoundCalcification PhysiologicAnimal ShellsStructural Biology[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]ShellAnimals14. Life underwater[SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/BiomaterialsCalciteMineralsPhylumMarine invertebratesExtracellular matrix[ SDV.IB.BIO ] Life Sciences [q-bio]/Bioengineering/BiomaterialsInvertebrateschemistryEvolutionary biology[ SDV.BBM.GTP ] Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]ProteomePeptidesBiomineralization
researchProduct