Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Illumina, Inc. (NASDAQ: ILMN) today announced the launch of TruPath™ Genome, setting a new standard for high-quality, comprehensive whole genome insights for genetic disease. TruPath Genome has been ...

New genome sequencing algorithm boosts human genome completeness by 20%, improving variant detection and advancing personalized medicine.

Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

Genomic data is vast and increasingly sparse. This problem grows as we sequence more and more patients. Herein, Professor Ennis will describe an algorithmic tool that reduces the sparsity of genomic ...

To better characterize the functional context of genomic variations in cancer, researchers at University of California San Diego School of Medicine and the Broad Institute developed a new computer ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...