Paradigm4’s Marilyn Matz reflects on the understanding complex biological phenomena has required concurrent advances in experimental methods and computing power.
Paradigm4’s Marilyn Matz reflects on the understanding complex biological phenomena has required concurrent advances in experimental methods and computing power.
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.
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. But the value of these systems risks being impaired by bottlenecks in data analysis
