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BACKGROUND: Meta-analysis is a statistical method for combining the results of primary studies. It is often used in systematic reviews and is increasingly a method and topic that appears in student dissertations. MetaLight is a freely available software application that runs simple meta-analyses and contains specific functionality to facilitate the teaching and learning of meta-analysis. While there are many courses and resources for meta-analysis available and numerous software applications to run meta-analyses, there are few pieces of software which are aimed specifically at helping those teaching and learning meta-analysis. Valuable teaching time can be spent learning the mechanics of a new software application, rather than on the principles and practices of meta-analysis. FINDINGS: We discuss ways in which the MetaLight tool can be used to present some of the main issues involved in undertaking and interpreting a meta-analysis. CONCLUSIONS: While there are many software tools available for conducting meta-analysis, in the context of a teaching programme such software can require expenditure both in terms of money and in terms of the time it takes to learn how to use it. MetaLight was developed specifically as a tool to facilitate the teaching and learning of meta-analysis and we have presented here some of the ways it might be used in a training situation.
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Metaanálisis como Asunto , Enseñanza , Programas InformáticosRESUMEN
This paper describes an automatic system for the analysis and classification of leech behavior. Three colored beads were attached to the dorsal side of a free moving or pinned leech, and color CCD camera images were taken of the animal. The leech was restrained to moving in a small tank or petri dish, where the water level can be varied. An automatic system based on color processing tracked the colored beads over time, allowing real-time monitoring of the leech motion for several hours. At the end of each experimental session, six time series (2 for each bead) describing the leech body motion were obtained. A statistical analysis based on the speed and frequency content of bead motion indicated the existence of several stereotypical patterns of motion, corresponding to different leech behaviors. The identified patterns corresponded to swimming, pseudo-swimming, crawling, exploratory behavior, stationary states, abrupt movements, and combinations of these behaviors. The automatic characterization of leech behavior demonstrated here represents an important step toward understanding leech behavior and its properties. This method can be used to characterize the behavior of other invertebrates and also for some small vertebrates.
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Conducta Animal/clasificación , Litchi/fisiología , Actividad Motora/fisiología , Animales , Conducta Animal/fisiología , Conducta Exploratoria/fisiología , Locomoción/fisiología , Microesferas , Modelos Neurológicos , Periodicidad , Fotograbar/métodos , Estimulación Física/métodos , Análisis Espectral , Natación/fisiologíaRESUMEN
We describe the application of an intracellular antibody capture technology (IACT) as a generic in vivo selection procedure for isolating intracellular antibodies or ICAbs. IACT was applied to the de novo selection of functional ICAbs against the microtubule-associated protein TAU, found in neurofibrillary lesions of Alzheimer's disease brains. A panel of 17 different ICAbs was created which bind TAU inside cells and the epitopes recognized by the selected ICAbs have been determined by an in vivo epitope mapping procedure. Finally, sequence analysis showed that the IACT-derived ICAbs are characterized by a common signature of conserved amino acid residues, suggesting that the IACT naturally selects a sort of "captured consensus sequence" for intracellular antibodies. The development of IACT, together with the possibility of scaling up in a high throughput and automated format, makes IACT a new enabling tool for target validation in functional genomics and global proteomics.