10,063 research outputs found

    A Platform for Processing Expression of Short Time Series (PESTS)

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    <p>Abstract</p> <p>Background</p> <p>Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamically expressed under given conditions, and to determine the interaction between these genes. Because of cost and resource issues, most time series datasets contain less than 9 points and there are few tools available geared towards the analysis of this type of data.</p> <p>Results</p> <p>To this end, we introduce a platform for Processing Expression of Short Time Series (PESTS). It was designed with a focus on usability and interpretability of analyses for the researcher. As such, it implements several standard techniques for comparability as well as visualization functions. However, it is designed specifically for the unique methods we have developed for significance analysis, multiple test correction and clustering of short time series data. The central tenet of these methods is the use of biologically relevant features for analysis. Features summarize short gene expression profiles, inherently incorporate dependence across time, and allow for both full description of the examined curve and missing data points.</p> <p>Conclusions</p> <p>PESTS is fully generalizable to other types of time series analyses. PESTS implements novel methods as well as several standard techniques for comparability and visualization functions. These features and functionality make PESTS a valuable resource for a researcher's toolkit. PESTS is available to download for free to academic and non-profit users at <url>http://www.mailman.columbia.edu/academic-departments/biostatistics/research-service/software-development</url>.</p

    Spartan Daily, February 3, 1984

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    Volume 82, Issue 5https://scholarworks.sjsu.edu/spartandaily/7123/thumbnail.jp

    Radar, Insect Population Ecology, and Pest Management

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    Discussions included: (1) the potential role of radar in insect ecology studies and pest management; (2) the potential role of radar in correlating atmospheric phenomena with insect movement; (3) the present and future radar systems; (4) program objectives required to adapt radar to insect ecology studies and pest management; and (5) the specific action items to achieve the objectives

    From Farming to "Pharming". Risks and Policy Challenges of Third Generation GM Crops

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    Commercial and academic activities in the production of pharmaceuticals or other substances of industrial interests from genetically modified plants, i.e. molecular farming, have so far centred in the USA and Canada. Recent increases in EU activities and the proximity to market stage of the first plant-made pharmaceuticals, some of which from EU based companies, represent a call to action for EU regulators. Drawing on the North American debate on molecular farming it will be argued that both the rationale of and the risk issues associated with molecular farming will differ significantly from those of first generation GM crops. Based on these differences, the suitability of the existing regulatory framework, which essentially was developed in response to the arrival of insecticide and herbicide tolerant crops for food and feed use, is discussed. Possible options for adapting the already complex EU regulatory system to cater for molecular farming are examined. It will be argued that the policy challenges posed will inevitably spark a broader public debate. As an issue for debate, molecular farming is located at two crossroads: of the risk debate on agricultural biotechnology and the sustainability debate on renewables and greening of industry and of red and green biotechnology. Complex scientific, technical and legal issues, new issues at stake and a new pattern of actors are likely to give EU regulators a difficult time.molecular farming, industrial crops, biotechnology policy, risk assessment, GMO regulation

    Insect pest management with sex pheromone precursors from engineered oilseed plants

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    Pheromones have become an environmentally friendly alternative to conventional insecticides for pest control. Most current pheromone-based pest control products target lepidopteran pests of high-value crops, as today’s manufacturing processes cannot yet produce pheromones at low enough costs to enable their use for lower-value crops, especially commodity crops. Camelina sativa seeds genetically modified to express (Z)-11-hexadecenoic acid, a sex pheromone precursor of several moth species, provided the oil from which the precursor was isolated, purified and transformed into the final pheromone. Trap lures containing this pheromone were then assessed for their capacity to manage moth pests in the field. Plant-derived pheromone lures proved equally effective as synthetic pheromone lures in monitoring the diamondback moth, Plutella xylostella, in cabbage and disrupting mating of cotton bollworm, Helicoverpa armigera, in common bean fields. Our study demonstrates the biological efficacy and economic feasibility of pheromone production in plant factories by metabolic engineering of an oilseed crop

    Management and drivers of change of pollinating insects and pollination services. National Pollinator Strategy: for bees and other pollinators in England, Evidence statements and Summary of Evidence

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    These Evidence Statements provide up-to-date information on what is known (and not known) about the status, values, drivers of change, and responses to management of UK insect pollinators (as was September 2018). This document has been produced to inform the development of England pollinator policy, and provide insight into the evidence that underpins policy decision-making. This document sits alongside a more detailed Summary of Evidence (Annex I) document written by pollinator experts. For information on the development of the statements, and confidence ratings assigned to them, please see section ?Generation of the statements? below. Citations for these statements are contained in the Summary of Evidence document
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