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.