Estimating Aggregate Demand in Egypt

This econometric study seeks to determine the most important factors of aggregate demand in Egypt so as to provide insight into how this developing nation can grow economically in the coming years. The Ordinary Least Squares estimation method was used in order to estimate nominal GDP for the time period 1975 to 2009. Based on the results the real interest rate, the inflation rate, the growth rate of government expenditure, and the growth rate of the money supply are the most statistically and economically significant factors of the growth rate of nominal GDP for the coming year. A one percent change in the growth rate of the previous year government expenditure is predicted to cause the growth rate of the current year nominal GDP to increase by 54%. The role of government expenditures on public sector wage expansion is discussed in this study as to shed light on this factor’s significant influence on income inequality post-1975 in Egypt, which will continue to impact nominal GDP and social conditions for the developing nation in the coming years

Estimating Aggregate Demand in Egypt

This econometric study seeks to determine the most important factors of aggregate demand in Egypt so as to provide insight into how this developing nation can grow economically in the coming years. The Ordinary Least Squares estimation method was used in order to estimate nominal GDP for the time period 1975 to 2009. Based on the results the real interest rate, the inflation rate, the growth rate of government expenditure, and the growth rate of the money supply are the most statistically and economically significant factors of the growth rate of nominal GDP for the coming year. A one percent change in the growth rate of the previous year government expenditure is predicted to cause the growth rate of the current year nominal GDP to increase by 54%. The role of government expenditures on public sector wage expansion is discussed in this study as to shed light on this factor’s significant influence on income inequality post-1975 in Egypt, which will continue to impact nominal GDP and social conditions for the developing nation in the coming years

Establishing a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia

EMBL Australia Bioinformatics Resource (EMBL-ABR) is a developing national research infrastructure, providing bioinformatics resources and support to life science and biomedical researchers in Australia. EMBL-ABR comprises 10 geographically distrib- uted national nodes with one coordinating hub, with current funding provided through Bioplatforms Australia and the University of Melbourne for its initial 2-year development phase. The EMBL-ABR mission is to: (1) increase Australia’s capacity in bioinformatics and data sciences; (2) contribute to the development of training in bioinformatics skills; (3) showcase Australian data sets at an international level and (4) enable engagement in international programs. The activities of EMBL-ABR are focussed in six key areas, aligning with comparable international initiatives such as ELIXIR, CyVerse and NIH Commons. These key areas—Tools, Data, Standards, Platforms, Compute and Training—are described in this article

Whole Genome Expression Array Profiling Highlights Differences in Mucosal Defense Genes in Barrett's Esophagus and Esophageal Adenocarcinoma

Esophageal adenocarcinoma (EAC) has become a major concern in Western countries due to rapid rises in incidence coupled with very poor survival rates. One of the key risk factors for the development of this cancer is the presence of Barrett's esophagus (BE), which is believed to form in response to repeated gastro-esophageal reflux. In this study we performed comparative, genome-wide expression profiling (using Illumina whole-genome Beadarrays) on total RNA extracted from esophageal biopsy tissues from individuals with EAC, BE (in the absence of EAC) and those with normal squamous epithelium. We combined these data with publically accessible raw data from three similar studies to investigate key gene and ontology differences between these three tissue states. The results support the deduction that BE is a tissue with enhanced glycoprotein synthesis machinery (DPP4, ATP2A3, AGR2) designed to provide strong mucosal defenses aimed at resisting gastro-esophageal reflux. EAC exhibits the enhanced extracellular matrix remodeling (collagens, IGFBP7, PLAU) effects expected in an aggressive form of cancer, as well as evidence of reduced expression of genes associated with mucosal (MUC6, CA2, TFF1) and xenobiotic (AKR1C2, AKR1B10) defenses. When our results are compared to previous whole-genome expression profiling studies keratin, mucin, annexin and trefoil factor gene groups are the most frequently represented differentially expressed gene families. Eleven genes identified here are also represented in at least 3 other profiling studies. We used these genes to discriminate between squamous epithelium, BE and EAC within the two largest cohorts using a support vector machine leave one out cross validation (LOOCV) analysis. While this method was satisfactory for discriminating squamous epithelium and BE, it demonstrates the need for more detailed investigations into profiling changes between BE and EAC

Integrative computational epigenomics to build data-driven gene regulation hypotheses

BACKGROUND: Diseases are complex phenotypes often arising as an emergent property of a non-linear network of genetic and epigenetic interactions. To translate this resulting state into a causal relationship with a subset of regulatory features, many experiments deploy an array of laboratory assays from multiple modalities. Often, each of these resulting datasets is large, heterogeneous, and noisy. Thus, it is non-trivial to unify these complex datasets into an interpretable phenotype. Although recent methods address this problem with varying degrees of success, they are constrained by their scopes or limitations. Therefore, an important gap in the field is the lack of a universal data harmonizer with the capability to arbitrarily integrate multi-modal datasets. RESULTS: In this review, we perform a critical analysis of methods with the explicit aim of harmonizing data, as opposed to case-specific integration. This revealed that matrix factorization, latent variable analysis, and deep learning are potent strategies. Finally, we describe the properties of an ideal universal data harmonization framework. CONCLUSIONS: A sufficiently advanced universal harmonizer has major medical implications, such as (i) identifying dysregulated biological pathways responsible for a disease is a powerful diagnostic tool; (2) investigating these pathways further allows the biological community to better understand a disease's mechanisms; and (3) precision medicine also benefits from developments in this area, particularly in the context of the growing field of selective epigenome editing, which can suppress or induce a desired phenotype

A dynamic electrochemical sensor for europium(III)

1325-1331A new calixarene derivative, i.e., p-tert-butylcalix[4]arene has been used as an excellent ionophore in the construction of a novel PVC based Eu(III)-selective electrode. A master membrane with percentage composition of PVC:DBP:L: NaTPB:: 32:55:4:9 gives the best results. The membrane electrode exhibits a nernstian response with the slope of 19.7±1.0 mV/decade over a wide concentration range of 9.1 × 10-8-1.0 × 10-1 M and with detection limit of 8.8 × 10-8 M. The effects of membrane composition and pH as well as the influence of the anionic additive on the electrode performance have been investigated. The potential response of the resulting sensor is not influenced in the pH range 3.0-9.0. Moreover, the membrane electrode has a good reproducibility (RSD 3%), very fast response time (5 s) and ability to detect Eu(III) among other rare earth metal and common cations. The membrane sensor works satisfactorily up to 40% non-aqueous medium and can be used over a period of 6 months. The sensor has been successfully applied for the determination of Eu(III) in analytical and biological samples (urine and serum) and also acts as an electrode indicator

Binding of an indole alkaloid, vinblastine to double stranded DNA: A spectroscopic insight in to nature and strength of interaction

Vinblastine is a chemotherapeutic drug, used for the treatment of various cancers. It functions by interfering with DNA in fast growing cells and preventing them from reproducing. The present work is focused on the interaction of vinblastine with double stranded DNA in aqueous solution. Fourier transform infrared and UV-Visible absorption spectroscopy were used to analyze the interaction of vinblastine with calf-thymus DNA. FTIR analysis showed binding of vinblastine through A-T and G-C base pairs of DNA along with its phosphate backbone. UV-Vis spectroscopy results suggested the intercalation of drug in between the base pairs of DNA double helix. The binding constant estimated for vinblastine-DNA association was found to be K = 1.7 x 10(3) M-1. Molecular docking was performed and the results showed adenine base binding of vinblastine with DNA. Furthermore spectroscopic results revealed that formation of vinblastine-DNA complex resulted in no major change in the B-conformation of DNA

Understanding the regulatory grammar of sepsis-causing bacteria using contexualised DNA language models

<ul> <li>Update regulatory figure</li> <li>Update supplementary table 2</li> </ul&gt

genomeNLP - Leveraging Natural Language Processing: A step-by-step guide to decipher the grammar of genetic code

<ul> <li>Fix a bug where passing a config to train did not override output URL</li> <li>Raise a warning when local and remote sources clash</li> <li>Fix a bug where automated download does not work for cross validation</li> </ul>If you use this software, please cite it as below