Accelerating RNA Drug Discovery with Automated Data Analysis

The road to hit identification in RNA drug discovery is data-intensive, especially with the introduction of high-throughput methods for siRNA/oligo screening. The large volume of data generated can be laborious to process. How can we ensure that these datasets are properly QCed, processed, and integrated to support efficient decision-making?

In her presentation at the Oligonucleotides & mRNA Therapeutics Congress, Ming Wang addresses the challenges of RNA drug discovery and showcases how Genedata Screener^® expedites hit identification by streamlining and automating data analysis, visualization, and interpretation. This results in higher quality, more reliable data, and ultimately enables efficient decision making.