A team of researchers has built a new protein sequencing workflow that pairs mirror proteases with deep learning software to read peptide sequences with far greater accuracy than previous methods.

Researchers at Karolinska Institutet have developed a rapid and cost-efficient sequencing method that can identify antibiotic ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

Routine newborn screening (NBS) has transformed early disease detection. However, traditional biochemical tests limit the ...

In a single experiment, scientists can decipher the entire genomes of many patient samples, animal models, or cultured cells.

This research, led by Prof. Haichen Wu from the Institute of Chemistry, Chinese Academy of Sciences (CAS), and Prof. Lei Liu from the Institute of High Energy Physics, CAS, alongside their ...

UT researchers have developed the first viable alternative to a 75-year-old method for sequencing proteins. Image of amino acids, the building blocks of proteins. Scientists at The University of Texas ...

Proteins, one of the smallest building blocks of life on Earth, hold promise for answering some of biology's biggest ...

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 ...

Whole genome sequencing (WGS) is not necessarily a solution for someone with a rare, monogenic disease. Indeed, more than half of families with suspected rare monogenic diseases do not have an answer ...