The number of cells analyzed in single cell studies is doubling every year. Researchers increasingly rely on single cell data to develop new hypotheses on disease and generate computation models across large research consortiums.
As the demand for high-quality single cell data grows, it's up to companies like Parse to meet these needs. Our goal is to provide a flexible solution that allows researchers to design their studies based on their research questions, rather than being limited by technology.
In this webinar, we showcased the latest version of our flagship technology, Evercode Whole Transcriptome v3.
