By Hugo Francisco de Souza A new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering ...

Scientists at the Baylor College of Medicine and collaborating institutions used complementary approaches that integrate exome sequencing and evolutionary action machine learning to identify protein ...

As public health officials around the world contend with the latest surge of the COVID-19 pandemic, researchers at Drexel University have created a computer model that could help them be better ...

Genetic variants that cause rare disorders may remain elusive even after expansive testing, such as exome sequencing. The diagnostic yield of genome sequencing, particularly after a negative ...

Researchers at EMBL’s European Bioinformatics Institute (EMBL-EBI) have developed a new machine learning method called SAVANA that significantly reduces sequencing errors for cancer genomes. Long-read ...

Genomic testing based on chromosome microarray (CMA) and Next Generation Sequencing (NGS) revolutionized clinical genetics. That said, microarray, targeted panel, exome and generic whole genome ...

The ability to synthesize and sequence vast numbers of DNA constructs is a cornerstone of modern high-throughput biological screening and discovery. As a result, the need for faster, easier, and more ...