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Presentations by group members at external events
We regularly present our work at seminars, specific meetings, and national and international conferences.
Quality Assurance (QA) is used to monitor the performance of MRI scanners and this is particularly important in multicentre imaging studies. In SINAPSE (Scottish Imaging Network a Platform for Scientific Excellence) a common QA protocol was agreed after studying the different QA protocols being used in the seven participant MR scanners in four centres and analysing the needs of multicentre studies. This common protocol provides a framework for monitoring the quality of the data obtained in the different centres to help facilitate the combination of data between centres.
Date and time:
Friday, 26 March, 2010 - 15:40
Location:
Edinburgh Training & Conference Centre, 16 St. Mary's Street, Edinburgh, UK
We present Edinburgh Data-Intensive Research, a research group in Edinburgh Informatics and part of the UK National e-Science Centre. The demonstration comprises several rounds of 15 minutes, where we briefly introduce the group (2-minutes), then attendees can pick people to talk to for the remaining time. All team members are there and have laptops to provide in-depth demonstrations of our methods and applications of them.
Date and time:
Monday, 15 March, 2010 - 14:00
Location:
Data-Intensive Research Workshop, e-Science Institute, UK
The high cost and difficulty of obtaining high-quality mRNA from primary tissue has led many microarray studies to be conducted based on the analysis of single sample-replicates. The purpose of our study was to quantify the impact of this practice on the quality and reproducibility of reported results by exploiting the multiple-array-per-chip design of the Illumina BeadChip platform.
Date and time:
Tuesday, 9 March, 2010 - 09:30
Location:
MRC Human Genetics Unit, Western General Hospital, Edinburgh
Data-intensive refers to huge volumes of data, complex patterns of data integration and analysis and intricate interactions between data and users. Current methods and tools are failing to address data-intensive challenges effectively: they fail for several reasons, all of which are aspects of scalability.
Rapid is a cost-effective and efficient way of designing and delivering portal interfaces to applications that require remote compute resources. The aim of Rapid is to make completing these tasks as simple as ordering a DVD or booking a flight on the web.