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 ...

In an attempt to diversify the types of genomic data used in studies of diseases — which has typically been sourced from Caucasians — researchers at the University of Southern California are working ...

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 ...

One of the biggest hurdles in microbiology research is ensuring that the genomic data you use is accurate and traceable. When data comes from unverified sources, it can lead to misidentification, ...

NashBio, a pioneer in genomics and real-world data, is transforming life sciences research by making complex healthcare data more accessible. Co-founded by Leeland Ekstrom, NashBio leverages ...

Harnessing the power of genomics to find risk factors for major diseases or search for relatives relies on the costly and time-consuming ability to analyze huge numbers of genomes. A team co-led by a ...

Every living organism has its own genetic "blueprint": the source code for how it grows, functions and reproduces. This ...

Leading researchers in data science and genomics are recommending strategies to help genomic scientists better manage, share, analyze and archive massive research and clinical data sets in an effort ...