Single-cell RNA sequencing data are useful for studying cell phenotypes and function. However, deciphering the clonal relationships of cells is critical to understanding the patterns of cell migration ...

Just as asking a single person about their health will provide tailored, personalized information impossible to glean from a large poll, an individual cell's genome or transcriptome can provide much ...

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 ...

Early response assessment after one cycle of neoadjuvant chemotherapy in breast cancer by FLT-PET/CT. This is an ASCO Meeting Abstract from the 2014 ASCO Annual Meeting I. This abstract does not ...

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.

Genome sequencing has been a cornerstone of genomics research and personalized medicine, enabling the detailed mapping of genetic information. However, the completeness and accuracy of human genome ...

Monoclonal antibodies are used throughout life science research, please give an overview of why the sequencing of antibody proteins is important? Primary sequences of antibody proteins are one of the ...

Scientists at Scripps Research have devised a method that may be able to shortcut one of the big steps in modern vaccine development. The researchers showed that they could apply high-resolution, ...