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The Power Decoder simulator for the evaluation of pooled shRNA screen performance
Jesse Stombaugh, Abel Licon, Žaklina Strezoska, Joshua Stahl, Sarah Bael Anderson, Michael Banos, Anja van Brabant Smith, Amanda Birmingham, Annaleen Vermeulen

Power Decoder (written in R and Python) simulates shRNA pooled screening experiments in silico to allow for the estimation of a screen’s statistical power. Populations of shRNAs were engineered in such a way that the magnitude of depletion and enrichment was known, then using the negative binomial distribution, an in silico model was developed to successfully resemble data from an actual laboratory experiment.

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Knockdown of long noncoding RNAs in breast cancer
1 Jennii Luu, 2 Jesper Maag, 1 Yanny Handoko, 3 Richard Redvers, 3,4 Robin L. Anderson, 5 Maren M. Gross , 2 Marcel E. Dinger, and 1,3 Kaylene J. Simpson 1 Victorian Centre for Functional Genomics, Peter MacCallum Cancer Centre; 2 Genome Informatics, The Kinghorn Cancer Centre, The Garvan Institute of Medical Research; 3 Metastasis Research Laboratory, Peter MacCallum Cancer Centre, 4 Sir Peter MacCallum Department of Oncology, University of Melbourne;

RNAi global collaboration study using Lincode siRNA in a primary screen of tumor and nontumor breast cell lines. Hundreds of lncRNAs are found to affect viability and cell morphology of breast cancer. Presented at Keystone Symposia on Long Noncoding RNAs: From Evolution to Function, Mar 15 - Mar 20, 2015.

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DETERMINATION OF THE QUALITY OF ACTIVE INGREDIENTS IN PAIN KILLERS USING GC-MS
Elizabeth N.M Murago1, Nathan Oyaro1, Anthony N. Gachanja, Onditi O. Anam, Felix M. Mawili, Steve Lancaster

From this study, the pain killers sampled were found to have large error bars suggesting that there exist counterfeit drugs in the market. The brands mostly affected for analysis of acetaminophen were panadol, action, P500, P5500, elymol and neladol. The error bars for caffeine analysis were quite low indicating that all tablets either counterfeit or original maintained the same amount of this active ingredient.

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DETERMINATION OF ESSENTIAL AND HEAVY METALS IN KENYAN HONEY BY ATOMIC ABSORPTION AND EMMISSION SPECTROSCOPY
A. Mbiri, A. Onditi, N. Oyaro

Generally, honey samples recorded very low concentrations of As compared to the other heavy metals determined in this study. The highest concentration of As was recorded in honey sample from Nairobi with a value of 0.03±0.01 ppm. All the values recorded were within the KEBS permitted value of 0.5 ppm in food according to Kenya Bureaue of Standards, 1996.

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Prospecting For Iron and Titanium Using Termitaria
Kinachu James. G, Kiptoo Jackson. K, Onditi Anam.O.

This study demonstrated elevated levels of the two metals (that is iron and titanium) in termitaria soil compared to the surrounding soils. Termitaria are very important bioturbators and can therefore be used as preliminary step in mineral prospecting since they provide an indication of the potential of the positive anomaly, and enables a judgment on the scale of the metal accumulation

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Improved Small RNA Library Preparation Workflow for Next-Generation Sequencing
Sabrina Shore, Jordana Henderson, Anton McCaffrey, Gerald Zon, Richard Hogrefe

We describe an optimized small RNA NGS library prep workflow using chemically modified adapters which suppresses adapter dimers, allows for RNA inputs down to 1 ng and eliminates the need for a gel purification step, thus allowing full automation not previously possible.

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Combined Use of Rheometry and GPC/SEC for Characterising Ionic Polysaccharides
John Duffy, Bernd Schaefer, Bert Postma

This poster shows how Rheometry and GPC can be complementary tools for characterising the behaviour of polysaccharides in solution

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Rate and Mechanistic Investigation of Eu(OTf)2-Mediated Reduction of Graphene Oxide at Room Temperature
Tufan Ghosh, Sandeepan Maity and Edamana Prasad

Eu(OTf)2 has been introduced as an efficient reagent for the reduction of graphene oxide. Details kinetic studies have been performed which suggests that, the method is more efficient compared to that of other commonly used reduction methods.

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Electrical Fusion Machine - New electrical fusion system for x-ray fluorescence analysis
Dr. Rainer Schramm, FLUXANA GmbH & Co. KG; Prof. Marie-Louise Klotz, Hochschule Rhein-Waal, Dr. Myint Myint Sein, Hochschule Rhein-Waal

This poster describes sample preparation in x-ray fluorescence analysis using the Electrical Fusion Machine by FLUXANA.

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Scientific News
Flowers Arrange Themselves for Bees
Study suggests plants can maximise their chances of reproduction by taking advantage of how insects move when they gather nectar.
Improving Wheat Crops in the Field
Agrii, RAGT and the University of Nottingham are developing better disease management and yield production in wheat crops using ASD FieldSpec Handheld 2 portable spectroradiometers.
Unravelling the Roots of Insect’s Waterproof Coating
Researchers have identified the genes that control cuticular lipid production in Drosophila, by performing an RNAi screen and using Direct Analysis in Real Time and GC-MS.
Structural link to Brain Cell Death in Alzheimer's
Study reveals multiple new leads for pursuing potential Alzheimer's treatments
Disentangling the Plant Microbiome
Study says breeding plants, to feed a growing global population, with more beneficial bacteria is far from simple.
Cellular Origin of Skin Cancer Identified
Scientists have identified ‘cell of origin’ in the most common form of skin cancer, and followed the process that leads to tumour growth.
How Plants Sense Electric Fields
An international group of researchers has identified the sensor plants use to sense electric fields. The voltage sensor discovery could contribute to the understanding of how the Ebola virus enters human cells.
Google and EI Partner for Next Generation of Coders
The Earlham Institute's open-source project for visualisation of biological data BioJS acts as mentor organisation for Google Summer of Code 2016.
DNA Production Facility Begins Operation
Scientists mark the opening of the UK's first fully automated DNA construction and modification facility.
A 3D Paper-Based Microbial Fuel Cell
Researchers have developed a proof-of-concept 3D paper-based microbial fuel cell (MFC) that could take advantage of capillary action to guide the liquids through the MFC system and to eliminate the need for external power.
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