Inhibrx Adopts DNASTAR Lasergene Software
News Mar 30, 2016
DNASTAR has announced that Inhibrx has entered into an agreement supporting an organization-wide site license of DNASTAR Lasergene software. This license provides access to DNASTAR software for all employees of Inhibrx.
John Timmer Ph.D., the Research Director of Inhibrx commented, “After using Lasergene software in-house to meet our day to day sequence analysis needs, it became clear that a long-term, company-wide site license of the software makes sense for our organization. We have found the software to be easy to use and powerful, and DNASTAR’s technical support has been very responsive and on point. By committing to this license for multiple years, our scientists can count on a consistent, strong platform being available to them throughout their research projects. We look forward to using Lasergene on an increasing basis as we continue to grow our business.”
Tom Schwei, Vice President and General Manager of DNASTAR, stated, “We appreciate the confidence shown by Inhibrx in making this multi-year commitment to using our software as an integral part of their research and business.
As a leading-edge firm in developing fit-for-function biotherapeutics, Inhibrx represents a great fit for our software platform, now and into the future. We look forward to supporting the research and business of Inhibrx through ongoing development and delivery of a strong software offering.”
Algorithm Speeds Up Medical Image Analysis 1000 TimesNews
Medical image registration is a common technique that involves overlaying two images, such as magnetic resonance imaging (MRI) scans, to compare and analyze anatomical differences in great detail. Researchers have described a machine-learning algorithm that can register brain scans and other 3-D images more than 1,000 times more quickly using novel learning techniques.
Antarctic Worm and Machine Learning Help Identify Cerebral Palsy EarlierNews
A research team has released a study in the peer-reviewed journal BMC Bioinformatics showing that DNA methylation patterns in circulating blood cells can be used to help identify spastic cerebral palsy (CP) patients. The technique which makes use of machine learning, data science and even analysis of Antarctic worms, raises hopes for earlier targeted CP therapies.
Towards Personalized Medicine: One Type of Data is Not EnoughNews
To understand the biology of diseased organs researchers use different types of molecular data. One of the biggest computational challenges at the moment is integrating these multiple data types. A new computational method jointly analyses different types of molecular data and disentangles the sources of disease variability to guide personalized treatment.READ MORE