With its technology, the company hopes to connect more cancer patients being treated in community-based practices to beneficial clinical trials based on genomic biomarkers.
The researchers are taking a transcriptome-wide approach to identifying and validating common genes that affect genetic risk in both breast and ovarian cancers.
Genomic informatics startups Gene42 and SeqOne announced a technology partnership that seeks to improve the yield and speed of rare disease diagnosis.
The LOHGIC algorithm is currently being used to analyze tumor sequencing assay results as part of the Rutgers Cancer Institute's precision medicine program.
The new, open-source GATK4 widens its coverage and compatibility with major cloud platforms while adding machine learning.
The partners will integrate genomic, imaging, and other data to identify new therapies and personalize treatments for patients with neurological and neurodegenerative diseases.
A study of gene expression data from 173 breast cancer patients identified subtype-specific associations between molecular processes in tumor and blood cells.
The British CRISPR software developer is turning to investment platform SyndicateRoom as it looks to commercialize its products and expand into the US.
The new distributor of DNAStar sequencing analysis software in Japan is a longtime partner of the Wisconsin software company.
The open-source MultiQC software platform aggregates multiple bioinformatics analyses into a single report for the purpose of quality control.
Mice in New York harbor both antibiotic-resistant bacteria and novel viruses, according to a new analysis of their fecal microbiomes.
Human Heredity and Health in Africa Initiative has issued guidelines for genomic research in the region, according to Nature News.
The Associated Press reports that an ethicist predicts that prenatal diagnosis and other advances will lead to more choices being available to prospective parents.
In Genome Biology this week: approach to analyze alternative polyadenylation, algorithm to predict transcriptomic structural variations, and more.