The field of genomics is rapidly evolving, and tools like Rosalind are leading the charge in simplifying complex data analysis processes. Recently, Rosalind held a GeoMx Data Analysis Masterclass, aimed at educating researchers on advanced analysis techniques for gene expression data. If you missed it, here’s a summary of key takeaways from Session Two on AOI (Area of Interest) and Gene Removal.

Welcome to our exciting journey through the world of spatial transcriptomics, an innovative approach transforming the way we conduct research. Spatial analysis, particularly using platforms like GeoMx, opens new avenues for discovering insights that traditional methods may overlook. Today, we dive into one of the most crucial aspects of data analysis: quality control.

Rosalind is excited to introduce the GeoMx Data Analysis Masterclass Series, an educational initiative aimed at equipping researchers with advanced skills for GeoMx spatial data analysis. Hosted by Dr. Jessica Noll, an expert in spatial biology, this session laid the foundation for a comprehensive five-part series aimed at elevating your understanding of spatial data analysis and its applications.

Spatial biology is revolutionizing how we view and analyze biological data. Dr. Noll highlighted how Rosalind’s platform has emerged as a powerful tool to simplify complex data analysis in this rapidly evolving field. By integrating various types of data—DNA, RNA, and protein—into a single cloud-based platform, Rosalind enables users across academia, biotech, and pharma to conduct in-depth analysis while collaborating with peers globally.

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.