Search results for " sequence analysis"

showing 10 items of 294 documents

Comprehensive Analysis of Gene Expression Profiles of the Beet Armyworm Spodoptera exigua Larvae Challenged with Bacillus thuringiensis Vip3Aa Toxin

2013

Made available in DSpace on 2014-12-03T13:11:48Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-12-02Bitstream added on 2014-12-03T13:22:24Z : No. of bitstreams: 1 WOS000327944500105.pdf: 2100332 bytes, checksum: 71ea7616e9a7949eed19cff4ce56111f (MD5) Spanish Ministerio de Ciencia e Innovacion European FEDER funds Generalitat Valenciana Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Host-pathogen interactions result in complex relationship, many aspects of which are not completely understood. Vip proteins, which are Bacillus thuringensis (Bt) insecticidal toxins produced during the vegetative stage, are selectively effective against specific insect pests. This ne…

ScienceBacillus thuringiensisSpodopteraSpodopteraBacterial ProteinsBeet armywormBacillus thuringiensisExiguaGene expressionAnimalsMode of actionPest Control BiologicalGeneOligonucleotide Array Sequence AnalysisGeneticsRegulation of gene expressionMultidisciplinarybiologyQfungiRbiology.organism_classificationMolecular biologyLarvaMedicineTranscriptomeResearch ArticlePLoS ONE
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Two changes of the same nucleotide confer resistance to diuron and antimycin in the mitochondrial cytochrome b gene of Schizosaccharomyces pombe

1988

AbstractDiuron (3-(3,4-dichlorophenyl)-1,1-dimethylurea) and antimycin, both inhibitors of mitochondrial respiration, block electron flow between cytochromes b and c1. Mutants resistant to either drug have been selected using Schizosaccharomyces pombe strains with an extrachromosomally inherited mutator. In analogy to Saccharomyces cerevisiae these mutational sites were assumed to map in the cytochrome b gene. DNA sequence analysis showed that two changes in the same nucleotide are responsible for resistance to antimycin and diuron. Analysis of resistant and sensitive progeny of crosses between the mutants and the wild type confirmed the correlation between mutational alteration and resista…

Sequence analysisSaccharomyces cerevisiaeMutantGenes FungalMolecular Sequence DataBiophysicsAntimycin AMutational alterationBiochemistryAntimycin resistanceSpecies SpecificityStructural BiologySchizosaccharomycesGenetics(Schizosaccharomyces pombe)AnimalsHumansNucleotideAmino Acid SequenceMolecular BiologyGeneDNA sequence analysischemistry.chemical_classificationbiologyBase SequenceCytochrome bWild typeDrug Resistance MicrobialCell Biologybiology.organism_classificationCytochrome b GroupMitochondrial cytochrome b geneMolecular biologyDiuron resistancechemistryBiochemistryGenesDiuronSchizosaccharomyces pombeSaccharomycetalesMutator strainFEBS Letters
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THE FINGERPRINT OF THE HUMAN GASTROINTESTINAL TRACT MICROBIOTA: A HYPOTHESIS OF MOLECULAR MAPPING

2017

The precise etiology of Inflammatory Bowel Disease (IDB) remains unclear and several factors are believed to play a role in its development and progression, including the composition of microbial communities resident in the gastrointestinal tract. Human intestinal microbiota are extensive with at least 15,000-36,000 bacterial species. However, thanks to the new development in sequencing and molecular taxonomic methodologies, our understanding of the microbiota population composition, dynamics, and ecology has greatly increased. Intestinal microbiota play a critical role in the maintenance of the host intestinal barrier homeostasis, while dysbiosis, which involves reduction in the microbiome…

Settore MED/12 - Gastroenterologiagastrointestinal tract microbiota dysbiosis Inflammatory Bowel Diseases molecular mapping fingerprintInflammatory Bowel DiseasesDNA FingerprintingAnti-Bacterial AgentsBacterial Typing TechniquesGastrointestinal MicrobiomeGastrointestinal TractSettore MED/18 - Chirurgia GeneraleRNA Ribosomal 16SDNA Barcoding TaxonomicDysbiosisHomeostasisHumansMolecular Targeted TherapyPrecision MedicineOligonucleotide Array Sequence Analysis
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A systems biology perspective on cholangiocellular carcinoma development: focus on MAPK-signaling and the extracellular environment.

2008

Background/Aims Multiple genes have been implicated in cholangiocellular carcinoma (CCC) development. However, the overall neoplastic risk is likely associated with a much lower number of critical physiological pathways. Methods To investigate this hypothesis, we extracted all published genetic associations for the development of CCC from PubMed (genetic association studies, but also studies associating genes and CCC in general, i.e. functional studies in cell lines, genetic studies in humans, knockout mice etc.) and integrated CCC microarray data. Results We demonstrated the MAPK pathway was consistently enriched in CCC. Comparing our data to genetic associations in HCC often successfully …

SorafenibMAPK/ERK pathwayNiacinamideMAP Kinase Signaling SystemPyridinesSystems biologyAntineoplastic AgentsOncogenomicsBiologyCholangiocarcinomaMiceDatabases GeneticmedicineAnimalsHumansGeneOligonucleotide Array Sequence AnalysisHepatologyMicroarray analysis techniquesKinasePhenylurea CompoundsSystems BiologyBenzenesulfonatesComputational BiologySorafenibBiological EvolutionBile Ducts IntrahepaticBile Duct NeoplasmsMultigene FamilyImmunologyKnockout mouseCancer researchExtracellular Spacemedicine.drugJournal of hepatology
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Tests for Differentiation in Gene Expression Using a Data-Driven Order or Weights for Hypotheses

2005

In the analysis of gene expression by microarrays there are usually few subjects, but high-dimensional data. By means of techniques, such as the theory of spherical tests or with suitable permutation tests, it is possible to sort the endpoints or to give weights to them according to specific criteria determined by the data while controlling the multiple type I error rate. The procedures developed so far are based on a sequential analysis of weighted p-values (corresponding to the endpoints), including the most extreme situation of weighting leading to a complete order of p-values. When the data for the endpoints have approximately equal variances, these procedures show good power properties…

Statistics and ProbabilityModels StatisticalModels GeneticBiometricsGene Expression ProfilingWord error rateFamilywise error rateGeneral MedicineData-drivenWeightingData Interpretation StatisticalsortComputer Simulationp-valueStatistics Probability and UncertaintyAlgorithmAlgorithmsOligonucleotide Array Sequence AnalysisMathematicsType I and type II errorsBiometrical Journal
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Long read alignment based on maximal exact match seeds

2012

Abstract Motivation: The explosive growth of next-generation sequencing datasets poses a challenge to the mapping of reads to reference genomes in terms of alignment quality and execution speed. With the continuing progress of high-throughput sequencing technologies, read length is constantly increasing and many existing aligners are becoming inefficient as generated reads grow larger. Results: We present CUSHAW2, a parallelized, accurate, and memory-efficient long read aligner. Our aligner is based on the seed-and-extend approach and uses maximal exact matches as seeds to find gapped alignments. We have evaluated and compared CUSHAW2 to the three other long read aligners BWA-SW, Bowtie2 an…

Statistics and ProbabilitySequencing and Sequence AnalysisTheoretical computer scienceGenomicsBiologyBiochemistrySoftwareHumansMolecular BiologyAlignment-free sequence analysisExact matchSupplementary dataGenome Humanbusiness.industryChromosome MappingHigh-Throughput Nucleotide SequencingGenomicsSequence Analysis DNAOriginal PapersComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsComputer engineeringScalabilitybusinessSequence AlignmentAlgorithmsSoftwareBioinformatics
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RNA-Seq Atlas—a reference database for gene expression profiling in normal tissue by next-generation sequencing

2012

Abstract Motivation: Next-generation sequencing technology enables an entirely new perspective for clinical research and will speed up personalized medicine. In contrast to microarray-based approaches, RNA-Seq analysis provides a much more comprehensive and unbiased view of gene expression. Although the perspective is clear and the long-term success of this new technology obvious, bioinformatics resources making these data easily available especially to the biomedical research community are still evolving. Results: We have generated RNA-Seq Atlas, a web-based repository of RNA-Seq gene expression profiles and query tools. The website offers open and easy access to RNA-Seq gene expression pr…

Statistics and ProbabilitySystems biologyRNA-SeqComputational biologyBiologycomputer.software_genreBiochemistryNeoplasmsGene expressionHumansMicroarray databasesMolecular BiologyGeneOligonucleotide Array Sequence AnalysisInternetSequence Analysis RNAbusiness.industryGene Expression ProfilingHigh-Throughput Nucleotide SequencingComputer Science ApplicationsGene expression profilingComputational MathematicsComputational Theory and MathematicsGene chip analysisData miningPersonalized medicineDatabases Nucleic AcidbusinesscomputerSoftwareBioinformatics
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Structure Learning in Nested Effects Models

2007

Nested Effects Models (NEMs) are a class of graphical models introduced to analyze the results of gene perturbation screens. NEMs explore noisy subset relations between the high-dimensional outputs of phenotyping studies, e.g., the effects showing in gene expression profiles or as morphological features of the perturbed cell. In this paper we expand the statistical basis of NEMs in four directions. First, we derive a new formula for the likelihood function of a NEM, which generalizes previous results for binary data. Second, we prove model identifiability under mild assumptions. Third, we show that the new formulation of the likelihood allows efficiency in traversing model space. Fourth, we…

Statistics and ProbabilityTraverseComputer scienceMolecular Networks (q-bio.MN)Genes MHC Class IIPerturbation (astronomy)Genes InsectFeature selectionQuantitative Biology - Quantitative Methods03 medical and health sciences0302 clinical medicineGeneticsAnimalsheterocyclic compoundsQuantitative Biology - Molecular NetworksGraphical modelMolecular BiologyQuantitative Methods (q-bio.QM)Oligonucleotide Array Sequence Analysis030304 developmental biologyLikelihood Functions0303 health sciencesNanoelectromechanical systemsModels StatisticalModels GeneticGene Expression ProfilingGenomicsComputational MathematicsDrosophila melanogasterPhenotypeFOS: Biological sciencesBinary dataIdentifiabilityRNA InterferenceLikelihood functionAlgorithmAlgorithms030217 neurology & neurosurgery
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Efficient change point detection in genomic sequences of continuous measurements

2010

Abstract Motivation: Knowing the exact locations of multiple change points in genomic sequences serves several biological needs, for instance when data represent aCGH profiles and it is of interest to identify possibly damaged genes involved in cancer and other diseases. Only a few of the currently available methods deal explicitly with estimation of the number and location of change points, and moreover these methods may be somewhat vulnerable to deviations of model assumptions usually employed. Results: We present a computationally efficient method to obtain estimates of the number and location of the change points. The method is based on a simple transformation of data and it provides re…

Statistics and Probabilitymodel selectionBreast Neoplasmscomputer.software_genreBiochemistryCell LineSimple (abstract algebra)Cell Line TumorHumansComputer Simulationpiecewise constant modelMolecular BiologyMathematicsOligonucleotide Array Sequence AnalysisSupplementary dataComparative Genomic HybridizationModels StatisticalSeries (mathematics)Model selectionGenomicsComputer Science ApplicationsComputational MathematicsR packageTransformation (function)Computational Theory and MathematicsChange pointsChangepointaCGH analysiFemaleData miningSettore SECS-S/01 - StatisticacomputerChange detection
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Animal rennets as sources of dairy lactic acid bacteria

2014

ABSTRACT The microbial composition of artisan and industrial animal rennet pastes was studied by using both culture-dependent and -independent approaches. Pyrosequencing targeting the 16S rRNA gene allowed to identify 361 operational taxonomic units (OTUs) to the genus/species level. Among lactic acid bacteria (LAB), Streptococcus thermophilus and some lactobacilli, mainly Lactobacillus crispatus and Lactobacillus reuteri , were the most abundant species, with differences among the samples. Twelve groups of microorganisms were targeted by viable plate counts revealing a dominance of mesophilic cocci. All rennets were able to acidify ultrahigh-temperature-processed (UHT) milk as shown by pH …

Streptococcus thermophilusColony CountColony Count MicrobialApplied Microbiology and BiotechnologyAcidification; Animal rennet pastes; Autolysis; Lactic acid bacteria; Microbial ecology; PyrosequencingMicrobial ecologyMicrobialCheeseRNA Ribosomal 16SLactobacillusEnterococcus casseliflavusLactic acid bacteriaCluster AnalysisPhylogenyEcologybiologyLactobacillus crispatusBacterialAnimal rennet pastefood and beveragesPyrosequencingHydrogen-Ion ConcentrationAutolysiBiotaAnimals; Cluster Analysis; Colony Count Microbial; DNA Bacterial; DNA Ribosomal; Enterococcus; Hydrogen-Ion Concentration; Lactobacillus; Microbial Viability; Milk; Molecular Sequence Data; Phylogeny; RNA Ribosomal 16S; Sequence Analysis DNA; Biota; ChymosinMilkSequence AnalysisChymosinBiotechnologyDNA Bacterial16SMolecular Sequence DataDNA RibosomalEnterococcus faecalisMicrobiologyAcidificationAnimalsRibosomalMicrobial ViabilitySequence Analysis DNADNAbiology.organism_classificationLactobacillus reuteriLactobacillusEnterococcusFood MicrobiologyRNAMetagenomicsEnterococcusFood ScienceEnterococcus faeciumSettore AGR/16 - Microbiologia Agraria
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