News

Princeton chemists have found a way to make a naturally occurring enzyme take on a new, artificial role, which has significant implications for modern chemistry, including pharmaceutical production.

Newly identified gene targets could be key to preventing the spread of cancer, new University of Alberta research has shown.

Correlative light-electron microscopy is being used to increase our knowledge of how platelets are made in the body and the results are challenging previously held understandings.

The Large Scale Genomics Work Stream of the Global Alliance for Genomics and Health (GA4GH) has announced eight new implementations of its htsget protocol, a standard released in October 2017 for accessing large-scale genomic sequencing data online that does not depend on file transfers. The protocol and interoperability testing are reported in a paper released online this week in the journal Bioinformatics.

Combinations of cancer drugs can be quickly and cheaply tested on tumour cells using a novel device. The research marks the latest advancement in the field of personalised medicine. Using a microfluidic device that fits in the palm of your hand, scientists screened over 1100 treatment conditions on patient tumour cells. In the future, such tests could be used to inform clinicians on safe and effective combinations of cancer treatments.

Using a mouse model, OHSU physician-scientists lead effort to hone a drug that inhibits cancer cells from spreading to other areas in the body.

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.

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.

have found that the moths, like migratory birds, depend on the Earth's magnetic field to guide them on their way.

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.