Genetic profile variation in vaccine strains and clinical isolates of bordetella pertussis recovered from iranian patients

Background: Re-emergence of pertussis has been reported in Iran despite a high rate of vaccination coverage. Low efficacy of the vaccine might be due to the genetic divergence between clinical versus vaccine strains. In the current study, the genetic profiles of clinical isolates and vaccine strains of Bordetella pertussis (B. pertussis) were assessed by using Pulsed Field Gel Electrophoresis (PFGE). Methods: Following phenotypic and molecular identification of isolates, XbaIdigested genomic DNA of 5 clinical isolates, 2 vaccine strains and a Tohama I strain were analyzed by PFGE along with B. parapertussis as a control. Results: Seven distinct PFGE profiles were found among all examined isolates/ strains. In 5 clinical isolates, 4 profiles were identified whereas the vaccine strains displayed 2 distinct profiles. The reference strain, Tohama I had a distinct profile. Vaccine and clinical profiles had low similarity, with relatedness of approximately 40. Conclusion: The genetic profiles of B. pertussis were different between circulating isolates and vaccine strains used in the national vaccination programs. Since new genetic profiles of B. pertussis can be disseminated periodically, the profiles of isolates circulating in the population should be monitored over the course of the re-emergence. © 2014, Avicenna Journal of Medical Biotechnology. All rights reserved

Success or failure identification for GitHub's open source projects

In this research we have tried to identify successful and unsuccessful projects on GitHub from a sample of 5000 randomly picked projects in a number of randomly selected languages (Java, PHP, JavaScript, C#/C++, HTML). We have selected 1000 projects for each of these languages through the publicly available GitHub API, refined our dataset, and applied different machine learning algorithms to achieve our aim. We initially implemented numerous queries against the dataset and found meaningful relationships and correlations between some of the fetched attributes which have an effect on the popularity of these projects. Later we could develop an application that will determine the success or failure of a specific open source project