about
The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae.YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiaeThe semantic web in translational medicine: current applications and future directionsCombination of measures distinguishes pre-miRNAs from other stem-loops in the genome of the newly sequenced Anopheles darlingiCSA: an efficient algorithm to improve circular DNA multiple alignmentAn analysis of the positional distribution of DNA motifs in promoter regions and its biological relevanceEntropic Profiler - detection of conservation in genomes using information theoryA service-oriented architecture for integrating the modeling and formal verification of genetic regulatory networks.Advancing Eucalyptus genomics: identification and sequencing of lignin biosynthesis genes from deep-coverage BAC libraries.Efficient alignment of pyrosequencing reads for re-sequencing applicationsEnrichment analysis applied to disease prognosisEmpirical assessment of sequencing errors for high throughput pyrosequencing data.The use of machine learning methodologies to analyse antibiotic and biocide susceptibility in Staphylococcus aureus.BioSurfDB: knowledge and algorithms to support biosurfactants and biodegradation studies.Evaluation of reduced susceptibility to quaternary ammonium compounds and bisbiguanides in clinical isolates and laboratory-generated mutants of Staphylococcus aureusCurrent tools for the identification of miRNA genes and their targets.The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in Saccharomyces cerevisiae.YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in Saccharomyces cerevisiae through a web services interfaceNavigating the unexplored seascape of pre-miRNA candidates in single-genome approaches.A novel resistance mechanism to triclosan that suggests horizontal gene transfer and demonstrates a potential selective pressure for reduced biocide susceptibility in clinical strains of Staphylococcus aureus.Qualitative modelling and formal verification of the FLR1 gene mancozeb response in Saccharomyces cerevisiae.slaMEM: efficient retrieval of maximal exact matches using a sampled LCP array.Temporal logic patterns for querying dynamic models of cellular interaction networks.MUSA: a parameter free algorithm for the identification of biologically significant motifs.Metagenome enrichment approach used for selection of oil-degrading bacteria consortia for drill cutting residue bioremediation.Quantitative modeling of the Saccharomyces cerevisiae FLR1 regulatory network using an S-system formalism.An efficient algorithm for the identification of structured motifs in DNA promoter sequences.NG-meta-profiler: fast processing of metagenomes using NGLess, a domain-specific languageUsing Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke PatientsQuantitative Modeling the Saccharomyces cerevisiae FLR1 Regulatory Network Using an S-System FormalismRefining current knowledge on the yeast FLR1 regulatory network by combined experimental and computational approachesToward a Translational Medicine Approach for Hypertrophic CardiomyopathySemantic characterization of hypertrophic cardiomyopathy disease
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description
hulumtuese
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հետազոտող
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name
Ana T. Freitas
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Ana T. Freitas
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Ana T. Freitas
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type
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Ana T. Freitas
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Ana T. Freitas
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Ana T. Freitas
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Ana Teresa Freitas
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Ana T. Freitas
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Ana T. Freitas
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Ana T. Freitas
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P1053
C-3647-2008
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P3829
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