Castanet: a pipeline for rapid analysis of targeted multi-pathogen genomic data.

Motivation: Target enrichment strategies generate genomic data from multiple pathogens in a single process, greatly improving sensitivity over metagenomic sequencing and enabling cost-effective, high-throughput surveillance and clinical applications. However, uptake by research and clinical laboratories is constrained by an absence of computational tools that are specifically designed for the analysis of multi-pathogen enrichment sequence data. Here we present an analysis pipeline, Castanet, for use with multi-pathogen enrichment sequencing data.

Motivations of family advisors in engaging in research to improve a palliative approach to care for persons living with dementia: an interpretive descriptive study.

Background: A Strategic Guiding Council (SGC) was created within a Family Carer Decisions Support study, to engage family carers of persons with advanced dementia as advisors to inform the design and implementation of the study. The SGC consists of an international group of family advisors from Canada, the Republic of Ireland, the United Kingdom, the Netherlands, and the Czech Republic. There are limited studies that have explored the integration of Patient and Public Involvement (PPI) in dementia research, end-of-life care and long-term care.

Perspectives on biovigilance and transmission of infection of donor origin in deceased organ donation-The evolving scenario in the United Kingdom.

Background: A biovigilance program that has oversight of the entire organ and tissue donation and transplantation pathways underpins the quality and safety system in the United Kingdom.

Method: A synopsis of the microbiological characterization of potential deceased organ donors and the processes for notification and investigation of possible donor-derived infections are described. A summary of the outcome of investigations performed over a 10-year period and a subset data frame of 5 years showing the proportion of infection incidents in relation to other incident types are also presented.

eQTLs identify regulatory networks and drivers of variation in the individual response to sepsis.

Sepsis is a clinical syndrome of life-threatening organ dysfunction caused by a dysregulated response to infection, for which disease heterogeneity is a major obstacle to developing targeted treatments. We have previously identified gene-expression-based patient subgroups (sepsis response signatures [SRS]) informative for outcome and underlying pathophysiology. Here, we aimed to investigate the role of genetic variation in determining the host transcriptomic response and to delineate regulatory networks underlying SRS.