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.

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

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 ...

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

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

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 ...

While next generation sequencing (NGS) has become a staple method for some researchers, it is often out of reach due to its high cost and technical challenges. To solve this problem, a novel ...

For the first time ever, DNA was successfully sequenced in microgravity as part of the Biomolecule Sequencer experiment performed by NASA astronaut Kate Rubins this weekend aboard the International ...

Cornell researchers have found that a new DNA sequencing technology can be used to study how transposons move within and bind to the genome. Transposons play critical roles in immune response, ...