Single-cell technologies have positioned themselves at the forefront of biomedical research. These platforms allow researchers to bypass the uncertainties of bulk data and instead interrogate biological systems at a level of detail that was previously unreachable. by Ruairi J MacKenzie
Popular opinion is that two big shifts have changed the game for bioinformatics. The first is a technology development—single cell ‘omics—that began just over 10 years ago, the other is a more recent move to a new model of drug discovery that looks to leverage the vast amounts of human
Peptides play important roles in human physiology. They present as intact peptides or can arise from protein degradation. Regardless of the source, peptidomics—the characterization of intact peptides in a biological sample—is fast emerging as an approach to uncover another layer in human health and disease.
Marilyn Matz, CEO of Paradigm4, and Zachary Pitluk, Vice President of Life Sciences at Paradigm4, explain why scalable data science platforms are key to supporting integrated analysis of single-cell genomic data sets.
