The UK Biobank has released 200,000 participant whole genome sequences through its newly launched Research Analysis Platform. This cloud-based platform allows secure, but democratized access to participant data for researchers.
The network was successfully tested for functionality using data from patients with neurological diseases whose underlying genetic defect was already known.
The Breast Cancer Database System (BCDS) will combine biological, biographical and demographic data in novel ways that will allow researchers to study breast cancers with similar clinical features, as well as rare subtypes.
A new study, which examined biopsy samples collected from three large, randomized clinical trials, indicated that physicians potentially can use genetic test scores to personalize treatment for men with the most aggressive form of prostate cancer.
A technique that maps gene actions and drug mechanisms to look for relevant links has revealed two new candidate drugs for treating pulmonary hypertension that were originally developed for their anticancer properties.
While many studies have identified the mutations involved in certain cancers, no one had ever combined the data in a way that could reveal which mutations are most common in the entire cancer patient population.
The tool, called Enformer, is a neural network architecture that produced greatly increased accuracy in predicting gene expression from DNA sequence, according to a study published in Nature Methods.
Lifebit’s current contracts include a project to build Hong Kong’s first population-scale genome sequencing initiative, the Hong Kong Genome Project, a long-term AI-partnership with German pharma giant Boehringer Ingelheim, and Genomics England.
The comprehensive and integrated proteogenomic characterization is a valuable resource for the development of early detection strategies and identifies several promising new targets for pancreatic ductal adenocarcinoma treatment and early diagnosis.
A research team based at McMaster University in Canada has developed an algorithm that can design more accurate probes to detect infectious disease pathogens in mixed samples and help avoid time consuming bulk sequencing.