Science Students Discover Benefits Of LIMS
News Jul 01, 2015
The presentation, entitled ‘What is a LIMS?’ was designed to complement BCA’s learners' unit on ‘working within the science industry’. The typical workflow in a laboratory was introduced, with detail on how sample information flow is managed using a paper-based system. Shortcomings of such approaches were discussed, such as manual allocation of sample numbers and recording of time/date for the entry of each piece of data; poor traceability (who did what and when) and time inefficiencies in creating reports.
The students were then shown what a computer system can do, not only in terms of sample tracking and sample management but also changing data into information such as the average turnaround time of a sample and the number of tests run on a particular instrument over a given period of time. The session finished with a short demonstration of Autoscribe’s Matrix Gemini LIMS.
John Boother said: “I was delighted to be invited to give this talk and to further strengthen the company’s links with local educational centres. These students could easily become laboratory technicians in almost any area of science in the future, so it was a great opportunity to explain how some of the procedures and processes are managed. Also, it is good for them to see that there are highly successful local companies around, employing local people. Who knows, some of them might be interested in applying for a job with us in the future”!
Computer scientists at Carnegie Mellon University say neural networks and supervised machine learning techniques can efficiently characterize cells that have been studied using single cell RNA-sequencing (scRNA-seq). This finding could help researchers identify new cell subtypes and differentiate between healthy and diseased cells.
Large-scale supercomputing is essential to solving complex questions about our world. But storage platforms essential for these advanced computer systems have been stuck in a rigid framework that required users to either choose between customization of features or high availability. Now, researchers have found a way to give high-performance computing data systems the flexibility to thrive with a framework called BespoKV, perhaps helping to one day achieve the HPC goal of performing at the exascale, or 1 billion billion calculations per second.READ MORE
International Conference on Food Technology and Nutritional Science
Sep 23 - Sep 24, 2019