Dalhousie Medicine New Brunswick Adopts DNASTAR Lasergene Software
News Sep 05, 2013
The license provides access to the DNASTAR software for all faculty, staff and students of DMNB.
Dr. Keith Brunt, assistant professor at Dalhousie Medicine New Brunswick said, “Until we entered into this agreement, we didn’t have much experience with DNASTAR or their Lasergene software. The more time we spent using the software and the more we learned about its capabilities, the more impressed we were with it. By signing this agreement, we provide access to outstanding software for all of our scientists, faculty, staff and students at a very reasonable cost. This software will help in the training of a new generation of physicians and is a step toward patient tailored therapy. This agreement will help support the future success and growth of our program.”
Tom Schwei, Vice President and General Manager of DNASTAR, stated, “We are pleased to have entered into this agreement with Dalhousie Medicine New Brunswick. Our company was founded from an academic research environment and we continue to focus on ensuring we are serving the academic market well. We are particularly pleased to have DMNB as a customer, as their focus on medicine correlates well with a growing area of focus for our future software development. We appreciate the trust placed in our tools and company by DMNB’s management and we look forward to continuing to meet the organization’s sequence assembly and analysis software needs in the future.”
Big Data Study Targets Genomic Dark Matter from Ocean Floor to Gut FloraNews
An international team led by computational biologist Fran Supek at IRB Barcelona develop a machine learning method to predict unknown gene functions of microbes.The system examines and compares ‘big data’ available on the metagenomes of human and environmental microbiomes.READ MORE
Machine Learning Model Provides Early Dementia DiagnosisNews
Improving dementia care through increased and timely diagnosis is an NHS priority, yet around half of those living with dementia live with the condition unaware. Now a new machine-learning model that scans routinely collected NHS data has shown promising signs of being able to predict undiagnosed dementia in primary care.