Earlier this month, we launched NanoString Masterclass Series, designed to enhance scientific understanding and practical skills in advanced nCounter data analysis. Dr. Ryan Friese (VP of Rosalind Customer Experience) hosts the series to share his best practices from years of working hands-on with scientists in BioPharma and Academia as a Field Application Scientist for NanoString.

Rosalind is proud to introduce the NanoString Masterclass Series, an educational initiative aimed at equipping researchers with advanced skills for nCounter data analysis. This program is designed to offer scientists in-depth knowledge on how to leverage Rosalind’s enhanced analysis capabilities, such as custom normalization, advanced Cell Type Profiling, and the strategic pruning of low expressors, among other features. 

This inaugural session sets the stage, offering a glimpse into the powerful combination of Rosalind’s platform with NanoString technology. The session highlighted how researchers could transition from sample processing to insightful data analysis within a 24-hour framework, emphasizing efficiency and depth of analysis.

We invite all researchers, from individual academics to teams within biotech and pharmaceutical companies, to join these sessions to enhance their analytical practice. Our commitment is to support the scientific community with precise, efficient, and reproducible data analysis.

As the world of biotechnology continues to evolve at a rapid pace, BioPharma institutions are confronted with the complex task of managing a deluge of multi-omic data sets. Knowledge Libraries are a revolutionary feature of the Rosalind platform designed to streamline data management and bolster collaborative research efforts. Knowledge Libraries are included with every Rosalind Enterprise Subscription. 

Watch our Webinar on Knowledge Libraries:

The Challenge

Biopharmaceutical research generates a vast amount of data in research and clinical trials from many domains including genomics, transcriptomics, and proteomics. Managing this heterogeneous data, especially integrating it from disparate sources, presents a significant challenge. Beyond mere data management, safeguarding data security and privacy is a critical task, requiring vigilant prevention of unauthorized access while enforcing requiring compliance. Implementing robust data governance policies and strategies is essential to ensure data accessibility, integrity and accountability. Moreover, effective collaboration facilitated through well-organized data storage plays a crucial role in maximizing the potential of this rich data landscape for impactful scientific discoveries.