Now showing items 1-4 of 4

    • COSMOS: Python library for massively parallel workflows 

      Gafni, Erik; Luquette, Lovelace J.; Lancaster, Alex K.; Hawkins, Jared B.; Jung, Jae-Yoon; Souilmi, Yassine; Wall, Dennis P.; Tonellato, Peter J. (Oxford University Press, 2014)
      Summary: Efficient workflows to shepherd clinically generated genomic data through the multiple stages of a next-generation sequencing pipeline are of critical importance in translational biomedical science. Here we present ...
    • Measuring Patient-Perceived Quality of Care in U.S. Hospitals Using Twitter 

      Hawkins, Jared Brian (2015-09-29)
      BACKGROUND Patients use Twitter to share feedback about their experience receiving health care. Identifying and analyzing the content of posts sent to each hospital may provide a novel real-time measure of quality, ...
    • Measuring patient-perceived quality of care in US hospitals using Twitter 

      Hawkins, Jared B; Brownstein, John S; Tuli, Gaurav; Runels, Tessa; Broecker, Katherine; Nsoesie, Elaine O; McIver, David J; Rozenblum, Ronen; Wright, Adam; Bourgeois, Florence T; Greaves, Felix (BMJ Publishing Group, 2016)
      Background: Patients routinely use Twitter to share feedback about their experience receiving healthcare. Identifying and analysing the content of posts sent to hospitals may provide a novel real-time measure of quality, ...
    • Scalable and cost-effective NGS genotyping in the cloud 

      Souilmi, Yassine; Lancaster, Alex K.; Jung, Jae-Yoon; Rizzo, Ettore; Hawkins, Jared B.; Powles, Ryan; Amzazi, Saaïd; Ghazal, Hassan; Tonellato, Peter J.; Wall, Dennis P. (BioMed Central, 2015)
      Background: While next-generation sequencing (NGS) costs have plummeted in recent years, cost and complexity of computation remain substantial barriers to the use of NGS in routine clinical care. The clinical potential of ...